Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Bayesian returned 420 record(s)
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Sunday, 07/31/2016
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Geometric Methods for Network Comparison and Multilevel Modeling
Anna Smith, The Ohio State University; Catherine Calder, The Ohio State University
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Robust Treatment Comparison Based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer
Thomas Murray, MD Anderson Cancer Center; Peter F. Thall, MD Anderson Cancer Center; Ying Yuan, MD Anderson Cancer Center; Daniel Gomez, MD Anderson Cancer Center; Sarah McAvoy, MD Anderson Cancer Center
2:05 PM
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A Fully Bayesian Strategy for High-Dimensional Hierarchical Modeling Using Massively Parallel Computing
William Landau, Iowa State University; Jarad Niemi, Iowa State University
2:05 PM
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On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
Joyee Ghosh, University of Iowa; Yingbo Li , Clemson University; Robin Mitra, University of Southampton
2:05 PM
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A Class of Bayesian Multivariate Time Series Models for Counts
Refik Soyer, The George Washington University; Tevfik Aktekin, University of New Hampshire; Nicholas Polson, The University of Chicago
2:05 PM
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On the Different Classes of Forensic Identification of Source Problems
Christopher Saunders, MITRE/South Dakota State University; Cedric Neumann, San Diego State University; Danica Ommen, South Dakota State University
2:05 PM
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A Statistical Framework for Using External Information in Updating Prediction Models with New Biomarker Measures
Wenting Cheng, University of Michigan; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
2:20 PM
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Study of K-Sample Capture-Recapture Experiments with Known Losses on Capture Under Partial Stratification
Lasantha Premarathna, Simon Fraser University; Carl Schwarz, Simon Fraser University
2:20 PM
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Bayesian Estimation and Variable Selection for Reliability in Multicomponent Systems
Yiqing Tian, North Carolina State University; Howard Bondell, North Carolina State University; Alyson Wilson, North Carolina State University
2:20 PM
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Bayesian Rank Estimation Between Radio Stations for Small Demographic Groups
Neung Ha, Nielsen; William Waldron, Nielsen; Ekaterina Sortiriz, Nielsen
2:20 PM
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Bayesian Matrix Autoregressive Models
Seyed Yaser Samadi, Southern Illinois University Carbondale; Lynne Billard, University of Georgia
2:20 PM
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A Spatiotemporal Hierarchical Bayesian Model for Understanding Vectors and Vector-Borne Disease
Erica Billig, University of Pennsylvania; Jason Roy, University of Pennsylvania; Michael Levy, University of Pennsylvania; Michelle Ross , University of Pennsylvania
2:20 PM
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A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling
Yanxun Xu; Peter F. Thall, MD Anderson Cancer Center; Peter Mueller, The University of Texas at Austin; Reza Mehran, MD Anderson Cancer Center
2:25 PM
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Two-Stage Design for Phase I/II Cancer Clinical Trials Using Drug Combinations of Cytotoxic Agents
Mourad Tighiouart, Cedars-Sinai Medical Center; Quanlin Li
2:25 PM
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The Spike and Slab Lasso
Veronika Rockova, The Wharton School; Edward I. George, The Wharton School
2:30 PM
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Using a Power Prior to Improve County-Level Diabetes Incidence Estimation
Hui Xie, CDC; Deborah Rolka, CDC
2:35 PM
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Incorporation of Historical Information in Bayesian Analysis of Crossover Medical Device Clinical Trials
Youssef Toubouti, Johnson & Johnson Vision Care; Xiwei Chen, Johnson & Johnson Vision Care
2:35 PM
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Frequentist and Bayesian Simulation Using a Random Coefficients Model to Establish Shelf-Life Specification Limits for a Drug Product
Richard Montes, Hospira, a Pfizer Company; David LeBlond, CMCStats
2:35 PM
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Reliability Growth Test and Evaluation for Multistate Systems
Thomas Mazzuchi, The George Washington University
2:35 PM
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Bayesian Group Sequential Clinical Trial Design Using Total Toxicity Burden and Progression-Free Survival
Brian Hobbs, MD Anderson Cancer Center; Peter F. Thall, MD Anderson Cancer Center; Steven H. Lin, MD Anderson Cancer Center
2:45 PM
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A Bayesian Decision Theoretic Methodology for Analyzing Gene Expression Data Under Skewed Alternatives
Naveen Bansal, Marquette University
2:50 PM
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Bayesian Feature Screening for Big Neuroimaging Data via Massively Parallel Computing
Jian Kang, University of Michigan
2:55 PM
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Bayesian Nonlocal Prior-Based Gene Expression Data Analysis Using Chi-Square-Type Pathway Scores
Nilotpal Sanyal, Texas A&M University; Wenyi Wang, MD Anderson Cancer Center; Anirban Bhattacharya, Texas A&M University; Valen E. Johnson, Texas A&M University
3:05 PM
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A Decision-Theoretic Phase I-II Design for Ordinal Outcomes in Two Cycles
Juhee Lee, University of California at Santa Cruz; Peter F. Thall, MD Anderson Cancer Center; Peter Mueller, The University of Texas at Austin; Yuan Ji, The University of Chicago
3:05 PM
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Consensus and Disagreement Among Distributions for Bayesian Inference
Ehsan Soofi, University of Wisconsin - Milwaukee; Mehdi Shoja, Citigroup
3:05 PM
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Statistical Models for the Movement of Halibut in the Gulf of Alaska
Margaret Short, University of Alaska Fairbanks; Andrew Seitz, University of Alaska Fairbanks; Julie Nielsen, University of Alaska Fairbanks
3:05 PM
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Bayesian Large-Scale Multiple Regression with Summary Statistics from Genome-Wide Association Studies
Xiang Zhu, The University of Chicago; Matthew Stephens, The University of Chicago
3:20 PM
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Imputing Drone Strikes Casualty Counts Given Estimated Interval Ranges
Earvin Balderama, Loyola University Chicago
3:20 PM
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Causal Mechanisms and Spillover Effects in Clustered Encouragement Designs
Fabrizia Mealli, University of Florence; Laura Forastiere, University of Florence
3:25 PM
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Standard Errors, Solution Paths, and Selection of Tuning Parameters for Bayesian Lassos
Sounak Chakraborty, University of Missouri - Columbia; Vivekananda Roy, Iowa State University
3:25 PM
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Markov Marked Space-Time Point Process Models in a Bayesian Framework with Applications
Athanasios Micheas, University of Missouri; Christopher Wikle, University of Missouri
3:35 PM
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Bayesian Modeling and Inference for High-Dimensional Spatiotemporal Data Sets
Sudipto Banerjee, University of California at Los Angeles
4:05 PM
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Bivariate Quantile-Based Calibration of Numerical Model Outputs with Application to Climate Projections
Brooke Alhanti, Emory University; Howard Chang, Emory University
4:05 PM
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Predicting the Timing of the Final Event in a Clinical Trial Using the Bayesian Bootstrap and Beyond
Marc Sobel, Temple University; Ibrahim Turkoz, Janssen R&D
4:05 PM
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Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing
Abhisek Saha, University of Connecticut; Xiaojing Wang, University of Connecticut; Dipak Dey, University of Connecticut
4:05 PM
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Identification of Marginal Causal Relationships in Gene Networks from Observational and Interventional Expression Data
Andrea Rau, INRA; Gilles Monneret, INRA/Universite Pierre et Marie Curie; Florence Jaffrezic, INRA; Gregory Nuel, Universite Pierre et Marie Curie
4:05 PM
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Use of Bayesian Approach for the Design and Evaluation of Multiregional Clinical Trials
Chinfu Hsiao, National Health Research Institutes; Yu-Chieh Cheng, National Chiao Tung University; Hsiuying Wang, National Chiao Tung University
4:05 PM
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On the Sensitivity Analysis for Bayesian Network Meta-Analysis
Haoda Fu
4:05 PM
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Bayesian High-Dimensional Sparse Models with Unknown Symmetric Errors
Lizhen Lin, The University of Texas; Minwoo Chae, The University of Texas at Austin; David Dunson, Duke University
4:05 PM
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Spatially Partitioning Curves Based on Functional Covariates, with Two Applications
Zhen Zhang, The University of Chicago
4:05 PM
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Detecting Change Points in Climatic Data Using Extreme Values
Andrew Bartlett, Southern Illinois University Edwardsville
4:20 PM
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A Bayesian Approach to Measuring the Nonstationarity of a Time Series
Sourav Das; Guy Nason, University of Bristol
4:20 PM
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Comparing Parametric and Semiparametric Bayesian Models for Subgroup Analysis in Clinical Trials
Margaret Gamalo-Siebers, Eli Lilly and Company
4:20 PM
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Bayesian Multiple Imputation Procedures to Equate Health Assessment Questionnaires
Chenyang Gu, Brown University; Roee Gutman, Brown University
4:25 PM
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On time-dependent Gibbs-type random probability measures
Igor Pruenster, Bocconi University
4:25 PM
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Bayesian Clinical Trial Design for Survival Studies with Historical Study Data Under a Proportional Hazards Assumption
Matthew Psioda, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
4:35 PM
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Bayesian Dynamic Modeling and Analysis of Streaming Network Data
Xi Chen, Duke University; Kaoru Irie, Duke University; David Banks, Duke University; Robert Haslinger, MaxPoint; Jewell Thomas, MaxPoint; Mike West, Duke University
4:45 PM
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On the transition function of some time-dependent Dirichlet and gamma processes
Antonio Lijoi, University of Pavia
4:45 PM
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Continuous Event Monitoring via a Bayesian Predictive Approach
Jianing Di, Janssen R&D; Daniel Wang, Janssen R&D; Robert Brashear, Janssen R&D; Vlad Dragalin, Janssen; Michael Krams, Janssen R&D
4:45 PM
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Incorporation of Individual Patient Data in Network Meta-Analysis for Multiple Continuous Endpoints, with Application to Diabetes Treatment
Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health; Haoda Fu; Karen Price, Eli Lilly and Company; Bradley Carlin, University of Minnesota
4:45 PM
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Shelf Life Estimation: Bayesian Approach
Maryna Ptukhina; Walter Stroup, University of Nebraska - Lincoln
4:50 PM
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Detecting Change Points in Climatic Data Using Bayesian Analysis
Cezareo Rodriguez; Andrew Bartlett, Southern Illinois University Edwardsville
4:50 PM
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Scalable Bayes Under Informative Sampling
Terrance Savitsky, Bureau of Labor Statistics; Sanvesh Srivastava, University of Iowa
5:05 PM
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A Bayesian Multivariate Functional Dynamic Linear Model
Daniel Ryan Kowal, Cornell University; David Matteson, Cornell University; David Ruppert, Cornell University
5:05 PM
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Posterior Contraction of the Population Structure in Admixture Models
Long Nguyen
5:05 PM
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The Case for Bayesian Methods in Benefit-Risk Assessment: Overview and Future Directions
Carl DiCasoli, Bayer HealthCare Pharmaceuticals; Yannis Jemiai, Cytel; Maria Costa, GlaxoSmithKline; Weili He, Merck; Yueqin Zhao, FDA/CDER
5:05 PM
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Pathway-Based Integrative Bayesian Modeling of Multi-Platform Genomics Data
Elizabeth McGuffey, U.S. Naval Academy; Jeffrey S. Morris, MD Anderson Cancer Center; Raymond Carroll, Texas A&M University; Ganiraju C. Manyam, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
5:05 PM
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A Bayesian Framework for Diagnosis of E2-Antibody Using ELISA Tests Without a Gold Standard
Jingyang Zhang, Fred Hutchinson Cancer Research Center
5:05 PM
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Bayesian Clustering and Dimension Reduction in Multivariate Extremes
Sabrina Vettori, KAUST; Raphaël Huser, KAUST; Marc Genton, KAUST
5:05 PM
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Bayesian Model Selection Applied to Definitive Screening Designs
Patrick Gaffney, Eli Lilly and Company
5:05 PM
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Bayesian Inference in a PDE-Based Model of Exhaled Nitric Oxide
Patrick Muchmore; Sandrah P. Eckel, University of Southern California
5:05 PM
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On Estimation of Fractal Dimension
Khalil Shafie, University of Northern Colorado; AliReza Taheriyoun, Shahid Beheshti University; Chen Chen-Yueh, National Chung Cheng University
5:20 PM
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A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values
Trivellore Raghunathan, University of Michigan
5:25 PM
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Accelerating Computation for Bayesian Spatial Modeling
Mary Kathryn Cowles, University of Iowa
5:25 PM
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On GEM diffusive mixtures
Ramses Mena, Universidad Nacional Autónoma de México; Luis Gutierrez, Universidad de Chile
5:25 PM
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Recent Developments in Multivariate Count Data and Ordered Response Models
Shiferaw Gurmu, Georgia State University
5:25 PM
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Bayesian Modeling of Days in Risk Due to Concentration of PM10 in Kuwait
Fahimah Alawadhi, Kuwait University
5:35 PM
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Bayesian Methods in Phase 3 HCV Trials: Borrowing Historical Control Arm Data
Ran Liu, AbbVie; Qi Tang, AbbVie; Martin King, AbbVie; Bo Fu, AbbVie; Sandra Lovell, AbbVie; Alan Hartford, AbbVie
5:35 PM
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Dynamic Multiscale Spatio-Temporal Models for Poisson Data: Spatio-Temporal Dependence Structure
Marco A. R. Ferreira, Virginia Tech; Thais C. O. Fonseca, Universidade Federal do Rio de Janeiro
5:35 PM
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Bayesian Networks--Based Usable Access Control
Anna Valeva, Western Illinois University; Binto George, Western Illinois University
5:35 PM
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Monday, 08/01/2016
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Bayesian Model Selection
Philip Dawid, University of Cambridge
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A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations in the Presence of a Baseline Covariate
Sungjin Kim; Mourad Tighiouart, Cedars-Sinai Medical Center; Marcio Diniz, Cedars-Sinai Medical Center
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Bayesian Adaptive Designs Using Copula-Type Models in Phase I Cancer Trials Using Drug Combination
Galen Cook-Wiens, Cedars-Sinai Medical Center; Mourad Tighiouart, Cedars-Sinai Medical Center; Marcio Diniz, Cedars-Sinai Medical Center; Andre Rogatko, Cedars-Sinai Medical Center
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Bayesian Adaptive Design for Delayed Binary Response Dose-Finding Studies
Xiaobi Huang, Sanofi; Haoda Fu
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Bayesian Approach to Survival Models for Events of Insurance Claims
Prashant KC, Minnesota State University Mankato; Deepak Sanjel, Minnesota State University Mankato
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Bayesian Model-Based Approaches for Raking
Peigen Zhou, University of Wisconsin - Madison; Yajuan Si, University of Wisconsin - Madison
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Bayesian Noncomparative Designs to Account for Uncertainty in Historical Response Rates
Francesca Matano, Carnegie Mellon University; Valeria Sambucini, University of Rome "La Sapienza"
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Subgroup Analyses for Count Data Using Bayesian Empirical Meta-Analytical Predictive Priors
Wei-Chen Chen, FDA/CBER; Judy X. Li, FDA; John Scott, FDA
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Bayesian Analysis of Fractional Differential Equations for Petroleum Extraction
Edward L. Boone, Virginia Commonwealth University; Ryad Ghanam, Virginia Commonwealth University
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Comparison of MCMC and ADM Methods for Hierarchical Bayesian Estimates in Small-Area Estimation
Ying Han, University of Maryland
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
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Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia
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Bayesian Analysis for Survey Data with Margin of Error
Yi Mu, CDC
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Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
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Bayesian Approach for Proof of Concept and Dose-Finding Under Model Uncertainty for Binary Response
Yuanyuan Tang, Saint Luke's Health System; Chunyan Cai, The University of Texas at Houston; Jianghua He, University of Kansas Medical Center; Liangrui Sun
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Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey
Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
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Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study
Ran Wei, North Carolina State University; Subhashis Ghoshal, North Carolina State University; Brian J. Reich, North Carolina State University; Jane Hoppin, North Carolina State University
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A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease
Shu-Ju Lin, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University
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Bayesian Aggregation of Rank Data with Covariates
Dingdong Yi, Harvard; Xinran Li, Harvard; Jun S. Liu, Harvard
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Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
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Univariate and Joint Spatio-Temporal Models for Predicting the Occurrence of Culicoides Across Belgium
Yimer Wasihun Kifle, Hasselt University; Christel Faes, Hasselt University; Niel Hens, Hasselt University
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Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
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Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
Matthew Koslovsky
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Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University
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Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model
Akram Yazdani, The University of Texas Health Science Center at Houston; Azam Yazdani; Luca Sartore, National Institute of Statistical Sciences; Eric Boerwinkle, The University of Texas Health Science Center at Houston
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Bayesian Joint Modeling of Longitudinal and Survival Data with Treatment Switches
Fan Zhang, University of Connecticut; Ming-Hui Chen, University of Connecticut; Qingxia Chen, Vanderbilt University; Xiuyu Julie Cong, Boehringer Ingelheim Pharmaceuticals
8:35 AM
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Estimating the Variance Due to Hot Deck Imputation for Product Value Estimates in the 2017 Economic Census
Katherine Jenny Thompson, U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Roberta Kurec, U.S. Census Bureau
8:35 AM
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Bayesian Spatio-Temporal Modeling of Multi-Pathogen Infectious Diseases Using Data from Multiple Sources
Hunter Merrill, University of Florida; Xueying Tang, University of Florida; Yang Yang, University of Florida; Nikolay Bliznyuk, University of Florida
8:35 AM
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Dimensional Reduction of Metagenomic Data with Ecological Equivalence
Senthilkumar Muthiah, University of Maryland; Eric Slud, U.S. Census Bureau; Mihai Pop, University of Maryland; Hector Corrada Bravo, University of Maryland
8:35 AM
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Bayesian Estimation of Heavy-Tailed Densities Using Transformations
Andrew Bean, The Ohio State University; Xinyi Xu, The Ohio State University; Steven N. MacEachern, The Ohio State University
8:35 AM
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Bayesian Response-Adaptive Covariate-Adjusted Randomization Design for Clinical Trials
Jianchang Lin, Takeda; LiAn Lin, Merck Research Laboratories; Serap Sankoh, Takeda; Fang Yang, Vertex Pharmaceuticals; Guohui Liu, Takeda
8:50 AM
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Spatio-Temporal Trends in Mass Shooting Incidents in the United States
Ali Arab, Georgetown University
8:50 AM
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The Attraction Indian Buffet Distribution
David Dahl, Brigham Young University; Arthur Lui, University of California at Santa Cruz
8:50 AM
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PairClone: A Bayesian Subclone Caller Based on Mutation Pairs
Tianjian Zhou, The University of Texas at Austin; Subhajit Sengupta, NorthShore University HealthSystem; Peter Mueller, The University of Texas at Austin; Yuan Ji, NorthShore University HealthSystem
8:55 AM
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Bayesian Analysis for Cluster Sampling
Susanna Makela, Columbia University; Yajuan Si, University of Wisconsin - Madison; Andrew Gelman, Columbia University
9:00 AM
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Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
Gregory Watson, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles
9:05 AM
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Spatial Model for Risk Prediction and Subnational Prioritization to Aid Poliovirus Eradication in Pakistan
Laina Mercer, Institute for Disease Modeling; Steve Kroiss, Institute for Disease Modeling; Hil Lyons, Institute for Disease Modeling; Guillaume Chabot-Couture, Institute for Disease Modeling
9:05 AM
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Regression-Based Covariance Functions for Nonstationary Spatial Modeling
Mark Risser, Lawrence Berkeley National Laboratory
9:15 AM
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P-Value Overdose in Medical Research: Problems and Solutions
J. Jack Lee, MD Anderson Cancer Center
9:15 AM
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Nonlocal Functional Priors for Nonparametric Bayesian Testing
Minsuk Shin, Texas A&M University; Valen E. Johnson, Texas A&M University; Anirban Bhattacharya, Texas A&M University
9:20 AM
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Spatial Variability in the Persistence of PCV-Targeted Pneumococcal Serotypes Among Adults
Joshua Warren, Yale University; S. Cassandra Pingali, Yale University; Daniel Weinberger, Yale University
9:20 AM
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A Ratio-Based Method for Predicting Point Differentials in Sports
Andrew Swift, University of Nebraska - Omaha; Andrew Tew, University of Nebraska - Omaha
9:20 AM
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Simulation and Optimization Using Minimum Energy Designs
Roshan Joseph Vengazhiyil, Georgia Institute of Technology; Dasgupta Tirthankar, Harvard; Rui Tuo, Chinese Academy of Sciences; Jeff Wu, Georgia Institute of Technology
9:25 AM
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Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia
9:30 AM
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Theoretic, Algorithmic, and Empirical Issues in the Application of Directed Probabilistic Graphical Models for Network Inference When Analyzing Genomics Data
Jason Mezey, Cornell University
9:35 AM
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Bayesian Adaptive Design for Trials with Delayed Binary Outcome Using Historical Control Data
Nusrat Harun, Cincinnati Children's Hospital ; Mi-Ok Kim, Cincinnati Children's Hospital Medical Center; Chunyan Liu, Cincinnati Children's Hospital
9:35 AM
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A Graphical Model to Prioritizing GWAS Results by Integrating Pleiotropy
Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Hongyu Zhao, Yale University
9:35 AM
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A Bayesian Formulation for Capturing Population Heterogeneity
Junxian Geng, Florida State University; Elizabeth Slate, Florida State University
9:35 AM
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Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University
9:35 AM
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Fast Approximate Bayesian Analysis of Multivariate Count Time Series in a Marketing Application
Nalini Ravishanker, University of Connecticut; Volodyymyr Serhiyenko, University of Connecticut; Rajkumar Venkatesan, University of Virginia
9:50 AM
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Bayesian Additive Regression Trees: Extensions and Embedding in Complex Models
Jared S. Murray, Carnegie Mellon University
9:50 AM
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A Nonparametric Bayesian Approach for Sparse Sequence Estimation
Yunbo Ouyang, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana-Champaign
9:50 AM
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A Bayesian Hierarchical Model of Pitch Framing in Major League Baseball
Sameer Deshpande, The Wharton School; Abraham J. Wyner, The Wharton School
9:50 AM
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Benefit-Risk Analysis for Dose-Escalation Trial
Hiya Banerjee
9:50 AM
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Calibration with Multiplicative Means but Additive Errors: A Log Normal Approach
Yang Chen, Harvard; Xufei Wang, Harvard; Xiao-Li Meng, Harvard; Herman Marshall, MIT; David A. van Dyk, Imperial College London; Matteo Guainazzi, JAXA; Paul Plucinsky, CXC/CfA; Vinay Kashyap, Harvard
9:55 AM
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A Bayesian Approach to Generalized Signed-Rank Estimation for Nonlinear Models with Multidimensional Indices
Eddy Kwessi, Trinity University; Brice Merlin Nguelifack, U.S. Naval Academy; Guy-vanie Miakonkana, African School of Economics
10:05 AM
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A Phylogenetic Model for Association Mapping with Multiple Loci
Katherine Thompson, University of Kentucky
10:05 AM
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A Note on Multiple Imputation Under Informative Sampling
Jae-kwang Kim, Iowa State University; Shu Yang, Harvard
10:35 AM
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An Integrated Bayesian Posterior Probability with Simon Two-Stage Design for a Randomized Phase II Clinical Trial
Dung-Tsa Chen, Moffitt Cancer Center; Po-Yu Huang, National Chung-Hsing University; Hui-Yi Lin, Louisiana State University Health Sciences Center
10:35 AM
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Why Popular Bayesian Nonparametric Methods Fail for Sparse Clustering Tasks
Rebecca Steorts, Duke University; Jeffrey Miller, Duke University; Brenda Betancourt; Abbas Zaidi, Duke University; Hanna Wallach, University of Massachusetts - Amherst/Microsoft Research
10:35 AM
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Bayesian Aggregation of Rank Data with Covariates
Dingdong Yi, Harvard; Xinran Li, Harvard; Jun S. Liu, Harvard
10:35 AM
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Bayesian Variable Selection for Multivariate Count Data with Excess Zeros: Application to the Pediatric HIV/AIDS Cohort Study
Kyu Ha Lee, The Forsyth Institute; Brent Coull, Harvard T.H. Chan School of Public Health; Jacqueline R. Starr, The Forsyth Institute
10:35 AM
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A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease
Shu-Ju Lin, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University
10:40 AM
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Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
10:45 AM
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Nonparametric Survival Analysis Using Bayesian Additive Regression Trees (BART)
Rodney Sparapani, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
10:50 AM
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Univariate and Joint Spatio-Temporal Models for Predicting the Occurrence of Culicoides Across Belgium
Yimer Wasihun Kifle, Hasselt University; Christel Faes, Hasselt University; Niel Hens, Hasselt University
10:50 AM
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Semiparametric Bayesian Analysis of High-Dimensional Censored Outcome
Chetkar Jha, University of Missouri; Yi Li, University of Michigan; Steven Melly, Harvard; Dr Subharup Guha, University of Missouri
10:50 AM
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
10:55 AM
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Bayesian Benefit Risk Assessments for Medical Products
Telba Irony, FDA
11:00 AM
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Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study
Ran Wei, North Carolina State University; Subhashis Ghoshal, North Carolina State University; Brian J. Reich, North Carolina State University; Jane Hoppin, North Carolina State University
11:00 AM
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Bayesian Decision Theory for Further Optimizing the Use of Administrative Records in the Census NRFU
Yves Thibaudeau, U.S. Census Bureau; Darcy S. Morris, U.S. Census Bureau
11:05 AM
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Bayesian Additive Regression Trees (BART) and Precision Medicine
Brent Logan, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
11:05 AM
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Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model
Akram Yazdani, The University of Texas Health Science Center at Houston; Azam Yazdani; Luca Sartore, National Institute of Statistical Sciences; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:05 AM
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Sequential BART for Imputation of Missing Covariates
Dandan Xu, University of Florida; Michael Daniels, The University of Texas at Austin; Almut G. Winterstein, University of Florida
11:15 AM
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Bayesian Analysis for Survey Data with Margin of Error
Yi Mu, CDC
11:15 AM
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Data-Driven Confounder Selection via Markov and Bayesian Networks
Jenny Haggstrom, Umea University
11:20 AM
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Robust Assessment of Trial Success Based on Co-Primary Endpoints by Bayesian and Bootstrapping Approaches with Discounting Option
Zongjun Zhang, Eli Lilly and Company; Fanni Natanegara, Eli Lilly and Company; Karen Price, Eli Lilly and Company
11:20 AM
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Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
11:30 AM
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
11:30 AM
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A Bayesian Approach for Classification Based on Continuous Glucose Monitoring Data of Diabetic Patients
Hui Zheng, Harvard Medical School
11:35 AM
|
Bayesian Variable Selection: An Alternative Route to Hierarchical Gene-Environment Interactions
Cen Wu, Kansas State University; Yu Jiang, University of Memphis; Jinfeng Wei, Maryville University; Shuangge Ma, Yale University
11:35 AM
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Bayesian Approach for Proof of Concept and Dose-Finding Under Model Uncertainty for Binary Response
Yuanyuan Tang, Saint Luke's Health System; Chunyan Cai, The University of Texas at Houston; Jianghua He, University of Kansas Medical Center; Liangrui Sun
11:35 AM
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Profiling Hospitals Based on Degree of Aggressiveness in Treating Patients with Advanced Cancer
Tianyi Cai, Harvard; Sherri Rose, Harvard Medical School; Deborah Schrag, Dana-Farber Cancer Institute; Francesca Dominici, Harvard T.H. Chan School of Public Health
11:35 AM
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A Bayesian Approach for the Integrative Analysis of Omics Data
Thierry Chekouo Tekougang, MD Anderson Cancer Center; Francesco Stingo, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; James Doecke, CSIRO Health and Biosecurity
11:35 AM
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Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey
Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:40 AM
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Bayesian Analysis of Quantal Bioassay Experiments Incorporating Historical Controls via Bayes Factors
Luis Leon Novelo, The University of Texas Health Science Center at Houston; Andrew Womack, Indiana University; Hongxiao Zhu, Virginia Tech; Xiaowei Wu, Virginia Polytechnic Institute and State University
11:50 AM
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Sparse Latent Class Regression for Multivariate Binary Data: A Bayesian Approach
Zhenke Wu, The Johns Hopkins University; Scott L. Zeger, The Johns Hopkins University
11:50 AM
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Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
11:55 AM
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Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
Matthew Koslovsky
12:00 PM
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A Bayesian High-Dimensional Couple-Based Latent Risk Model with an Application to Infertility
Zhen Chen, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Beom Seuk Hwang, Chung-Ang University; Germaine M. Buck Louis, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
12:05 PM
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Bayesian Visual Analytics: BaVA
Leanna House, Virginia Tech; Scotland Leman, Virginia Tech; Chao Han, SAS Institute
2:05 PM
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Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Xueying Tang, University of Florida; Ke Li, Southwestern University of Finance and Economics; Malay GHosh, University of Florida
2:05 PM
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A Variational Bayesian Algorithm for Variable Selection
Xichen Huang; Jin Wang, University of Illinois; Feng Liang, University of Illinois at Urbana-Champaign
2:05 PM
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A Phase 2a Bayesian Adaptive Dose-Ranging Trial Evaluating Hypertension Therapy
Richann Liu, Pfizer
2:05 PM
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A Bayesian GWAS Method Utilizing Haplotype Clusters for a Composite Breed Population
Danielle Wilson-Wells, University of Nebraska - Lincoln; Stephen D. Kachman, University of Nebraska - Lincoln
2:20 PM
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A Simple Bayesian Design to Identify Maximum Tolerated Dose Contour for Drug Combination Trials
Liangcai Zhang, Rice University; Ying Yuan, MD Anderson Cancer Center
2:20 PM
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Statistical Calibration of Engineering-Based End-Use Electricity Consumption Estimates: A Bayesian Multilevel Model Approach
Hiroaki Minato, Energy Information Administration
2:20 PM
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Bayesian Regression Using a Prior on the Model Fit
Brian Naughton, North Carolina State University; Howard Bondell, North Carolina State University
2:20 PM
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Characterizing Uncertainty in Genetic Association Landscapes by Functional Bayesian Bands
Olga A. Vsevolozhskaya, University of Kentucky; Ilai Keren , Washington Department of Fish and Wildlife; Dmitri Zaykin, National Institute of Environmental Health Sciences
2:20 PM
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A Bayesian HSROC Model for Meta-Analysis of Multiple Diagnostic Tests
Qinshu Lian, University of Minnesota; Haitao Chu, University of Minnesota
2:25 PM
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BOIN: A Simple, Ethical Bayesian Optimal Design for Phase I Oncology Trials
Ying Yuan, MD Anderson Cancer Center; Suyu Liu, MD Anderson Cancer Center
2:25 PM
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A Bayesian Generalized CAR Model for Correlated Signal Detection
Andrew Brown, Clemson University; Gauri S. Datta, University of Georgia; Nicole A. Lazar, University of Georgia
2:25 PM
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Bayesian Nonparametric Modeling and Inference for Mean Residual Life Functions
Athanasios Kottas, University of California at Santa Cruz; Valerie Poynor, California State University at Fullerton
2:30 PM
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Exploring Bayesian Go/No-Go Decision Criteria in Clinical Trials
Rodney Croos-Dabrera, Astellas Pharma; Misun Lee, Astellas Pharma
2:35 PM
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Bayesian Statistics and Information Theory
Jose Guardiola, Texas A&M University - Corpus Christi
2:35 PM
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Use of Bayesian Methods in Dose-Escalation Studies
Mani Lakshminarayanan, Pfizer
2:50 PM
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Bayesian Nonparametric Methods for Precision Medicine
Qian Guan, North Carolina State University; Eric Laber, North Carolina State University; Dipankar Bandyopadhyay, Virginia Commonwealth University; Brian J. Reich, North Carolina State University
2:55 PM
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Using Computer Experiments and Gaussian Process Emulation to Facilitate Bayesian Optimal Design for Physical Models Derived from Ordinary Differential Equations
David Woods, University of Southampton; Antony Overstall, University of Glasgow; Benjamin Parker, University of Southampton
2:55 PM
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Precision Medicine: How Bayesian Empirical Subgroup Analysis Plays a Role
Judy X. Li, FDA; Wei-Chen Chen, FDA/CBER; John Scott, FDA
3:05 PM
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Bayesian Bounding of the Population Subgroup Which Benefits from Treatment
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie; Walt Offen, AbbVie; Bradley Carlin, University of Minnesota
3:05 PM
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Approximations of Markov Chains and Bayesian Inference
James Johndrow, Duke University; Jonathan Mattingly, Duke University; Sayan Mukherjee, Duke University; David Dunson, Duke University
3:05 PM
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Bayesian Variable Selection for Skewed Heteroscedastic Response
Libo Wang, Florida State University; Yuanyuan Tang, Saint Luke's Health System; Debajyoti Sinha, Florida State University; Debdeep Pati, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital
3:05 PM
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Estimating Chinese Treasury Yield Curves with Bayesian Smoothing Splines
Zhuoqiong He, University of Missouri; Xiaojun Tong, China Securities Index Co.; Dongchu Sun, University of Missouri
3:05 PM
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A Bayesian Hierarchical Model for Pathway Analysis with Simultaneous Inference on Pathway-Gene-SNP Structure
Lei Zhang, The University of Texas at Dallas; Swati Biswas, The University of Texas at Dallas; Pankaj Choudhary, The University of Texas at Dallas
3:20 PM
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Bayesian Statistical Models Assessing Disease Modification Drug Effects Using Doubly Randomized Delayed-Start and Matched Control Designs
Ibrahim Turkoz, Janssen R&D; Marc Sobel, Temple University
3:20 PM
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Bayesian Single Index Models
Kumaresh Dhara, Florida State University; Debajyoti Sinha, Florida State University; Debdeep Pati, Florida State University
3:20 PM
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Bayesian Feature Selection for Ultra-High-Dimensional Imaging Genetics Data
Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Hongtu Zhu, The University of North Carolina at Chapel Hill; Fei Zou, University of Florida
3:25 PM
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Disentangling Bed Nets and Spillover Effects in a Clustered Encouragement Design for Malaria Control: A Bayesian Principal Stratification Approach
Laura Forastiere, University of Florence; Fabrizia Mealli, University of Florence; Tyler J. VanderWeele, Harvard
3:25 PM
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Bayesian Modeling of Phase II Dose-Ranging Clinical Trials
Shu-Yen Ho, PAREXEL
3:35 PM
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Adaptively Choosing Hyperparameters for Non-Local Priors in High Dimensional Bayesian Variable Selection
Amir Nikooienejad, Texas A&M University; Valen E. Johnson, Texas A&M University
3:35 PM
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Robust Bayesian Inference via the Tilted Posterior
Yixin Wang, Columbia University; David Blei, Columbia University
3:35 PM
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An Integrative Classification Model for Multiple Sclerosis Lesion Detection in Multimodal MRI
Fengqing Zhang, Drexel University; Wenxin Jiang, Northwestern University; Ji-Ping Wang, Northwestern University
3:35 PM
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Tuesday, 08/02/2016
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Physical Inactivity Displays a Mediator Role in the Association of Diabetes and Poverty in the Presence of Spatial Heterogeneity
Xiao Li, The University of Texas Health Science Center at Houston; Lung-Chang Chien, The University of Texas School of Public Health at San Antonio; Amanda Staudt, The University of Texas School of Public Health at San Antonio; Xuehan Ren, The University of Texas Health Science Center at Houston
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Variable Selection for Multistate Models in the Presence of Missing Data
Lauren J. Beesley, University of Michigan; Jeremy M. G. Taylor, University of Michigan
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Bayesian Propensity Score Analysis for Observational Multilevel Studies
Qi Zhou; Joon Jin Song, Baylor University; Catherine J. McNeal, Baylor Scott & White Health; Laurel A. Copeland, Baylor Scott & White Health; Justin Philip Zachariah, Texas Children's Hospital/Baylor College of Medicine
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Bayesian Causal Inference Analyses with Unmeasured Confounders
Negar Jaberansari, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center
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Statistical Emulator for NARCCAP Surface Precipitation and Temperature Using Spatially Varying Bayesian Model Averaging
Marcela Alfaro Cordoba, North Carolina State University; Montse Fuentes, North Carolina State University; Joseph Guinness, North Carolina State University; Dorit Hammerling, National Center for Atmospheric Research; Doug Nychka, National Center for Atmospheric Research
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Computationally Tractable Approximate and Smoothed Polya Trees
William Cipolli, Colgate University; Timothy Hanson, University of South Carolina
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Empirical Evaluation of Bayesian Network Classifiers
Weihua Shi, SAS Institute
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An Application of the Adaptive Bayesian Design for the Delayed Outcomes in a Phase II Clinical Trial
Lei Feng, MD Anderson Cancer Center; Steven H. Lin, MD Anderson Cancer Center; Suyu Liu, MD Anderson Cancer Center
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Bayesian Method for Causal Inference in High-Dimensional Time Series with Applications to Sales Data
BO NING
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Bayesian Nonparametric Feature Selection Over Large-Scale Gene Networks with Missing Values
Zhuxuan Jin, Emory University; Zhou Lan, North Carolina State University; Jian Kang, University of Michigan; Tianwei Yu, Emory University
|
BANFF: An R Package for BAyesian Network Feature Finder
Zhou Lan, North Carolina State University; Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Jian Kang, University of Michigan; Tianwei Yu, Emory University
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A Bayesian Spatial Clustering Method
Yin Xi, The University of Southwestern Medical Center at Dallas
|
A Statistical-Dynamical Approach to Probabilistic Decadal Climate Predictions
Francisco Beltran, Lawrence Livermore National Laboratory
|
Phylodynamic Individual-Level Models: Strategies for Simulation and Inference
Justin Angevaare, University of Guelph; Zeny Feng, University of Guelph; Rob Deardon, University of Calgary
|
A Bayesian Hierarchical Data Fusion Approach Leveraging Lidar and Hyperspectral Remote Sensing Information to Improve Aboveground Forest Carbon Estimation for Interior Alaska, USA
Chad Babcock, University of Washington
|
An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University
|
Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University
|
Models for Understanding and Predicting Consumer Perception of Radiance
Supriya A. K. Satwah, Unilever; Anthony Cece, Unilever; Robert Velthuizen, Unilever
|
Predicting Job Application Success with Two-Stage, Bayesian Modeling of Features Extracted from Candidate-Role Pairs
Jon Krohn, untapt; Gabe Rives-Corbett, untapt; Ed Donner, untapt
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Impact of Mis-Specified Prior on the Bayesian Dose-Finding Method in Phase I Cancer Trials
Lixia Pei, Janssen R&D; Kevin Liu, Janssen R&D; Hong Tian, Janssen R&D
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Decouple/Recouple: Dynamic Graphical Modeling and Time Series Forecasting
Mike West, Duke University; Lutz Gruber, QuantCo
8:35 AM
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A Changepoint Model for Housing Values
Xiaofei Susan Wang, Yale University; John Emerson, Yale University
8:35 AM
|
Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:35 AM
|
Comparison of Various Early-Phase Go/No Go Decision Criteria
Yili Pritchett, MedImmune; Masanori Ito, Astellas Pharma
8:35 AM
|
Probabilistic Graphical Model for Cyber Defensive Policy Assessment and Facilitation of Intuitive Optimal Policy Selection
Pranab Banerjee, Boston Fusion Corp.; Thomas Allen, Boston Fusion Corp.
8:50 AM
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Innovative Bayesian Applications in Clinical Trials
Soumi Lahiri, GlaxoSmithKline; Satrajit Roychoudhury, Novartis
8:55 AM
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Bayesian Inference with Half a Prior
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
9:00 AM
|
A Bayesian Framework for Modeling Human Mobility
Adrian Dobra, University of Washington
9:05 AM
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Inferring Brain Signals Synchronicity from a Sample of EEG Readings
Qian Li, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles; Damla Senturk, University of California at Los Angeles
9:05 AM
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Bayesian Covariance Analysis of Geographical Variation in Medicare Service Use
Alan M. Zaslavsky, Harvard Medical School; James O'Malley, Geisel School of Medicine at Dartmouth; Bruce E. Landon, Harvard Medical School
9:05 AM
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Bayesian Implementation of Integrated Population Models
Robert Richardson, Brigham Young University
9:05 AM
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Impact of Mis-Specified Prior on the Bayesian Dose-Finding Method in Phase I Cancer Trials
Lixia Pei, Janssen R&D; Kevin Liu, Janssen R&D; Hong Tian, Janssen R&D
9:05 AM
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Bayesian Predictive Approach to Concurrent Tailoring of Phase 3 Clinical Trials Intended for Registration
Ming-Dauh Wang, Eli Lilly and Company; Aijun Gao, inVentiv Health; Jinghui Liu, inVentiv Health; Karen Price, Eli Lilly and Company; MaryAnn Morgan-Cox, Eli Lilly and Company; Lei Shen, Eli Lilly and Company
9:15 AM
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Bayesian Estimation of the Three Key Parameters in CT for the National Lung Screening Trial Data
Ruiqi Liu, University of Louisville; Beth Levitt, Information Management Services; Tom Riley, Information Management Services; Dongfeng Wu, University of Louisville
9:20 AM
|
Improving Operational Reliability Estimates in the Department of Defense with Bayesian Statistics (Part 1)
Rebecca Dickinson, Institute for Defense Analyses; Kassie Froncyzk, IDA
9:20 AM
|
Bayesian Multiplicity Control for Multiple Graphs
Peter Mueller, The University of Texas at Austin; Riten Mitra, University of Louisville; Yuan Ji, NorthShore University HealthSystem
9:35 AM
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Using Bayesian Quantile Regression Model with Group LASSO to Identify Key Health Risk Assessment Variables and Evaluate Their Predictive Power in the Patient's Future Medical Costs
Hsiu-Ching Chang, BlueCross BlueShield of MI; Hyokyoung (Grace) Hong, Michigan State University; Yu Yue, Baruch College; Min Tao, BlueCross BlueShield of MI; Darline El Reda, Michigan State University
9:35 AM
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Improving Operational Reliability Estimates in the Department of Defense with Bayesian Statistics (Part 2)
Kassie Fronczyk; Rebecca Dickinson, Institute for Defense Analyses
9:35 AM
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Bayesian Assurance and Sample-Size Determination in the Process Validation Lifecycle
Paul Faya, Baylor University; John W. Seaman, Jr., Baylor University; James D. Stamey, Baylor University
9:35 AM
|
Allele-Specific RNA Expression Analysis Using Bayesian Hierarchical Models
Ignacio Alvarez, Iowa State University; Jarad Niemi, Iowa State University; Dan Nettleton, Iowa State University
9:35 AM
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A Semiparametric Bayesian Survival Analysis Using Covariate-Dependent Clustering, with Application to Pediatric Kidney Transplantation Data
Hang J. Kim, University of Cincinnati; Mi-Ok Kim, Cincinnati Children's Hospital Medical Center
9:50 AM
|
Bayesian Structural Mean Models
Bret Zeldow, University of Pennsylvania; Jason Roy, University of Pennsylvania
9:55 AM
|
Network Meta-Analysis of Multiple Factors
Lifeng Lin, University of Minnesota; Haitao Chu, University of Minnesota
10:05 AM
|
Particle EM for Variable Selection
Veronika Rockova, The Wharton School
10:35 AM
|
Bayesian Cure Rate Survival Model with Spatially Structured Censoring
Georgiana Onicescu; Andrew B. Lawson, Medical University of South Carolina
10:35 AM
|
A Bayesian Adaptive Clinical Trial Design: Diagnostic Accuracy of an Olfactory Diagnostic Test for Traumatic Brain Injury in Combat Soldiers
Benjamin Saville, Berry Consultants
10:35 AM
|
Bayesian Model Selection for Hierarchical Copulas and Vines
Arkady Shemyakin, University of St. Thomas; Alexander Kniazev, Astrakhan State University; Oleg Lepekhin, Astrakhan State University
10:35 AM
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Bayesian Spatial Model Selection Using Mixtures of G-Priors and Markov Random Field Priors for Identifying Gas Plumes in Hyperspectral Data
Nicole Mendoza, University of California at Santa Cruz; Abel Rodriguez, University of California at Santa Cruz
10:35 AM
|
Detecting Low Allele Fraction Variants Using Targeted DNA Sequencing with Molecular Barcodes
Chang Xu, Qiagen Sciences; Mohammad R. Nezami Ranjbar, Qiagen Sciences; John Dicarlo, Qiagen Sciences; Yexun Wang, Qiagen Sciences
10:50 AM
|
Scalable Bayesian Rule Lists
Hongyu Yang, MIT EECS; Cynthia Rudin, Duke University; Margo Seltzer, Harvard
10:55 AM
|
Probabilistic Integration: A Role for Statisticians in Numerical Analysis?
Francois-Xavier Briol, University of Warwick; Chris J. Oates, University of Technology Sydney; Mark Girolami, University of Warwick/The Alan Turing Institute for Data Science; Michael A. Osborne, University of Oxford; Dino Sejdinovic, University of Oxford
10:55 AM
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Bayesian Latent Variable Modeling of Genetic Pleiotropy Data
Lei Sun, University of Toronto; Lizhen Xu, University of Toronto; Radu V. Craiu, University of Toronto; Andrew Paterson, Hospital for Sick Children
11:05 AM
|
Inferring Spatial Organizations of Chromosomes from Hi-C Data via Poly-Helix Model
Rongrong Zhang, Purdue University; Ming Hu, New York University; Yu Zhu, Purdue University
11:05 AM
|
A Unified Approach to Information-Theoretic and Bayesian Model-Selection Criteria
Hamparsum Bozdogan, University of Tennessee; Maomi Ueno, Chiba University
11:05 AM
|
A Bayesian Hypothesis-Testing Framework for Detecting Differentially Expressed Genes
Claudio Fuentes, Oregon State University; Luis Leon Novelo, The University of Texas Health Science Center at Houston; Sarah Emerson, Oregon State University
11:05 AM
|
Predicting Job Application Success with Two-Stage, Bayesian Modeling of Features Extracted from Candidate-Role Pairs
Jon Krohn, untapt; Gabe Rives-Corbett, untapt; Ed Donner, untapt
11:05 AM
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A Novel 2D Genome Segmentation Method for Modeling Epigenetic Landscapes in Multiple Cell Lines
Yu Zhang, Penn State University
11:15 AM
|
Models for Understanding and Predicting Consumer Perception of Radiance
Supriya A. K. Satwah, Unilever; Anthony Cece, Unilever; Robert Velthuizen, Unilever
11:15 AM
|
A Bayesian Nonparametric Analysis of Heterogeneous Data on Microbial Communities
Sergio Bacallado
11:15 AM
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Bayesian Variable Selection by Cross Validation, DIC, and Marginal Likelihood: A Comparative Study
Arnab Maity, Northern Illinois University; Sanjib Basu, Northern Illinois University; SANTU GHOSH, Georgia Regents University
11:20 AM
|
Objective Bayesian Analysis for Gaussian Improper CAR Models
Matthew James Keefe, Virginia Tech; Marco A. R. Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech
11:20 AM
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Toward Automatic Bayesian Model Comparison: A Sequential Monte Carlo Approach
Yan Zhou, National University of Singapore ; Adam Michael Johansen, University of Warwick; John Aston, University of Cambridge
11:35 AM
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Sparse Multidimensional Graphical Models: A Unified Bayesian Framework
Yang Ni; Francesco Stingo, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
11:35 AM
|
Analysis of Distributional Variation: A Multi-Resolution Scanning Approach with Applications to DNase-Seq Analysis
Li Ma, Duke University
11:35 AM
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Bayesian Model Selection in Generalized Linear Model
Guiling Shi
11:35 AM
|
Advances of Bayesian Nonparametrics in Population Genetics of Infectious Diseases
Vladimir Minin, University of Washington
11:35 AM
|
Multivariate Smoothing Regression of Vector Valued Functions with Error in Variables Using a Bayesian Approach
Eduardo Trujillo Rivera
11:35 AM
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Adapting Heterogeneous Tissue Expression Analysis Method to RNA-Seq Data
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
11:35 AM
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Bayesian Model Selection of Shape Constraints for Nonparametric Regression
Peter Lenk, University of Michigan; Taeryon Choi, Korea University
11:50 AM
|
Bayesian Spatial Models for Predicting the Location of Head Impacts
Michael Lawson, The University of North Carolina at Chapel Hill; Daniel Hernandez-Stumpfhauser, The University of North Carolina at Chapel Hill; Amy Herring, The University of North Carolina at Chapel Hill; Gunter Siegmund, MEA Forensic; Jason Mihalik, The University of North Carolina at Chapel Hill; Steve Marshall, The University of North Carolina at Chapel Hill; Kevin Guskiewicz, The University of North Carolina at Chapel Hill
11:50 AM
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Dynamic Prediction of Alzheimer's Disease Risk Based on Longitudinal Biomarkers and Functional Data
Sheng Luo, The University of Texas at Houston; Kan Li, The University of Texas at Houston
11:55 AM
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Bayesian Nonparametric Multiple Testing for the Analysis of Microbiome Data
Michele Guindani
11:55 AM
|
Truncated Completely Random Measures
Trevor Campbell, MIT; Jonathan Huggins, MIT; Tamara Broderick, MIT; Jonathan How, MIT
11:55 AM
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Bayesian Inversion of a Large Spatial Field Using Predictive Process
Anirban Mondal, Case Western Reserve University
12:05 PM
|
Model-Based Differential Private Data Synthesis
Fang Liu, University of Notre Dame
12:05 PM
|
Detecting Hidden Additivity in Unreplicated Studies Using Bayesian Model Selection
Christopher T. Franck, Virginia Tech; Thomas Anthony Metzger, Virginia Tech
12:05 PM
|
Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach
Junshan Qiu, FDA; Marilyn Martinez, FDA; Ram Tiwari, FDA/CDER/OT/OB
12:05 PM
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Urban Heat Risk Mapping of Houston, Texas, Using Multiple Point Patterns
Jacob Mortensen, Brigham Young University; Matthew J. Heaton, Brigham Young University; Olga Wilhelmi, National Center for Atmospheric Research
2:05 PM
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Detection of Differential Gene Expressions from Tumor RNA-Seq and Copy Number Data in the Presence of Tumor Heterogeneity
Jaeil Ahn, Georgetown University; Wenyi Wang, MD Anderson Cancer Center; Ying Yuan, MD Anderson Cancer Center
2:05 PM
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Remote Sensing Retrievals for Atmospheric Carbon Dioxide: Quantifying Uncertainty in the Presence of Nonlinearity and Nuisance Parameters
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Noel Cressie, University of Wollongong ; Dejian Fu, Jet Propulsion Laboratory; Robert Granat, Jet Propulsion Laboratory; Michael Gunson, Jet Propulsion Laboratory; Joaquim Teixeira, University of California at Los Angeles
2:05 PM
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Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data
Eun Sug Park, Texas A&M Transportation Institute; Inyoung Kim, Virginia Tech; Shuman Tan, Texas A&M Transportation Institute; Clifford Spiegelman, Texas A&M University
2:20 PM
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Sample Size Estimation Using a Hybrid Classical and Bayesian Procedure
Maria Ciarleglio, Yale University; Christopher Arendt, Air Force Office of Scientific Research
2:20 PM
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Sparse Motifs: Discovering Structure in Massive Graphs
Zehang Li, University of Washington; Tyler McCormick, University of Washington; Joshua Blumenstock, University of Washington
2:20 PM
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Bayesian Modeling of Between- and Within-Subject Variances Using Mixed Effects Location Scale Models for Intensive Longitudinal Data
Donald Hedeker, The University of Chicago; Robin J. Mermelstein, University of Illinois at Chicago; Xiaolei Lin, The University of Chicago
2:25 PM
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Confidence Distribution for Bridging Posterior Probabilistic Inferences
Minge Xie, Rutgers University
2:30 PM
|
Automatic Variational Inference in Stan
Alp Kucukelbir; Dustin Tran; Rajesh Ranganath, Princeton; Andrew Gelman, Columbia University; David Blei, Columbia University
2:45 PM
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Bayesian Approaches to Modeling Complex Phenomena in Health Applications
Jennifer L. Hill, New York University; Vincent Dorie, New York University; Nicole Carnegie, University of Wisconsin - Milwaukee; Masataka Harada, National Graduate Institute for Policy Studies
2:45 PM
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Sparse Bayesian Graphical Vector Autoregression For Risk Analysis
Daniel Felix Ahelegbey, Boston University; Monica Billio, University of Venice; Roberto Casarin, University of Venice
2:50 PM
|
Convergence and Mixed Effects: Using Bayesian Models to Better Understand Linguistic Data
Joseph Roy, University of Illinois at Urbana-Champaign; Christopher Eager, University of Illinois at Urbana-Champaign; Kailen Shantz, University of Illinois at Urbana-Champaign; Amelia Kimball, University of Illinois at Urbana-Champaign
2:50 PM
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Being Bayesian in a Big Data World
David Banks, Duke University
2:55 PM
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Detecting Dynamic Long-Range Chromatin Interactions from Multiple Cell Types Hi-C Data Using a Bayesian Hierarchical Hidden Markov Random Field Model
Zheng Xu, The University of North Carolina at Chapel Hill; Guosheng Zhang, The University of North Carolina at Chapel Hill; Anthony Schmidt, University of California at San Diego; Bing Ren, University of California at San Diego; Ming Hu, New York University; Yun Li, The University of North Carolina at Chapel Hill
2:55 PM
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Hierarchical Bayesian Approaches for Clinical Trials in Orphan and Pediatric Diseases
Cynthia Basu, University of Minnesota; Freda Cooner, FDA/CDER/OTS/OB/DB2; Ram Tiwari, FDA/CDER/OT/OB; Bradley Carlin, University of Minnesota
3:05 PM
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Prediction of Brain Functional Connectivity in Resting-State fMRI Data Using a Bayesian Hierarchical Model
Tian Dai, Emory University; Ying Guo, Emory University
3:05 PM
|
Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM
|
Bayesian Predictive Inference for Consumption Data from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
3:05 PM
|
Streaming Variational Inference for Normalized Random Measure Mixture Models
Nicholas Foti, University of Washington
3:05 PM
|
Multilevel Bayesian Latent Class Growth Mixture Model for Longitudinal Zero-Inflated Poisson Data
Kejia Wang, University of Southern California; Kiros Berhane, University of Southern California
3:20 PM
|
A Novel Bayesian Multiple Imputation Framework for Massive Multivariate Data with Mixed Types of Marginals
Hakan Demirtas, University of Illinois at Chicago
3:25 PM
|
Bayesian Estimation with Flexible Prior for the Instrumental Variables Models
John Hsu, University of California at Santa Barbara; Julianne Swenson, University of California at Santa Barbara
3:35 PM
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MCMC Algorithms for Bayesian Inference with Stochastic Differential Equations
Harish S. Bhat, University of California at Merced; R. W. M. A. Madushani, University of California at Merced; Shagun Rawat, University of California at Merced
3:35 PM
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Wednesday, 08/03/2016
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Teaching Bayesian Statistics to Undergraduates
Jeffrey Witmer, Oberlin College
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Fast Bayesian Variable Screenings for Binary Response Regressions
Sheng-Mao Chang, National Cheng Kung University
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Learning Bayesian Update via Shiny: Understanding Bayesian Methods Through Visualization
J. Jack Lee, MD Anderson Cancer Center
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Bayesian Inference in Nonparanormal Graphical Models
Jami Jackson, North Carolina State University; Subhashis Ghosal, North Carolina State University
|
Clustering Functional Data from High-Throughput Sequencing Assays
Emery Goossens; Heejung Shim, Purdue University
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Comparison of the Bayesian and Frequentist Estimation of the Inbreeding Coefficient
Zhenyi Xue, Becton, Dickinson, and Company
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Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
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Statistical Methods for Genomic Data Integration
Veera Baladandayuthapani, MD Anderson Cancer Center
8:35 AM
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How to Ask Questions of Huge Data with Few Samples
David Dunson, Duke University
8:35 AM
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Bayesian Approach for Interim Analysis with Failure Time Endpoint
Zailong Wang, Novartis Pharma; Chen Gao, University of Minnesota; Peter Mesenbrink, Novartis Pharma
8:35 AM
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Efficient Bayesian Model-Based Clustering Method for Identification of Transcription Factor--Binding Sites for ChIA-PET Data
Ioannis Vardaxis, Norwegian University of Science and Technology; Bo Henry Lindqvist, Norwegian University of Science and Technology; Finn Drabløs, Norwegian University of Science and Technology; Morten Beck Rye, Norwegian University of Science and Technology
8:35 AM
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Modeling Non-Gaussian Time Series with Nonparametric Bayesian Model
Xinyi Xu, The Ohio State University; Zhiguang Xu, Chase; Steven N. MacEachern, The Ohio State University
8:35 AM
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Bayesian Prospective Detection of Small-Area Health Anomalies Using Kullback-Leibler Divergence
Chawarat Rotejanaprasert, Medical University of South Carolina
8:50 AM
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An Affine-Invariant Bayesian Cluster Process with Split-Merge Gibbs Sampler
Hsin-Hsiung Huang, University of Central Florida; Jie Yang, University of Illinois at Chicago
8:50 AM
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Adaptive Models for Profiling Tumor Evolution and Drug Response in Cancer Cell Subpopulations
Evan Johnson, Boston University
8:50 AM
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A Bayesian Multiscale Ordinal Latent Class Model for Dysphagia Severity
Elizabeth G. Hill, Medical University of South Carolina; Kent Armeson, Medical University of South Carolina; Elizabeth Slate, Florida State University; Bonnie Martin-Harris, Medical University of South Carolina
8:55 AM
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Robust Bayesian Inference via Coarsening
Jeffrey Miller, Duke University; David Dunson, Duke University
8:55 AM
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Bayesian Computation in Dirichlet Process Mixture Models
Erina Paul; Sanjib Basu, Northern Illinois University
9:05 AM
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On Bayes and Frequentist Meta-Analyses
Hal Li, Merck Research Laboratories; William William Wang, Merck Research Laboratories
9:05 AM
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A Bayesian Hierarchical Model for Combining Several Crop Yield Indications
Nathan B. Cruze, USDA/NASS
9:05 AM
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Dynamic Modeling of Factor Risks in Multi-strategy Hedge Fund Investment Portfolios
Weiren Chang, JP Morgan
9:05 AM
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Bayesian Restricted Likelihood Methods
Steven N. MacEachern, The Ohio State University; John Lewis, The Ohio State University; Yoonkyung Lee, The Ohio State University
9:15 AM
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A New Class of Nonseparable Bayesian Hierarchical Spatial Modeling for Sparse Gaussian Processes
Bledar Konomi, University of Cincinnati
9:20 AM
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Covariates Modulated False Discovery Rate in Hidden Markov Random Field Model
Richard Levine, San Diego State University; Wesley Thompson, University of California at San Diego; Carrie Bearden, University of California at Los Angeles; Dorothy Parker, University of California at San Diego; Rong Zablocki, University of California at San Diego
9:35 AM
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Bayesian Network-Response Regression
Lu Wang, Duke University; Daniele Durante, University of Padua; David Dunson, Duke University
9:35 AM
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A Gaussian-Probit Model for Bayesian Network with Mixed Variables
Qingyang Zhang, University of Arkansas; Ji-Ping Wang, Northwestern University
9:35 AM
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On the Inherently Bayesian Evaluation of Forecast Quantities
Catherine Forbes, Monash University
9:35 AM
|
Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
9:45 AM
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Bayesian Registration of Functions with a Gaussian Process Prior
Yi Lu, The Ohio State University; Sebastian A. Kurtek, The Ohio State University; Radu Herbei, The Ohio State University
9:50 AM
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Dirichlet Process Mixture Model for High-Dimensional Gene Expression Data
Eric Mittman, Iowa State University; Jarad Niemi, Iowa State University
9:50 AM
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A Complete Downscaler
Yen-Ning Huang, North Carolina State University; Brian J. Reich, North Carolina State University; Montse Fuentes, North Carolina State University; Sankar Arumugam, North Carolina State University
9:50 AM
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Clustering Functional Data from High-Throughput Sequencing Assays
Emery Goossens; Heejung Shim, Purdue University
9:50 AM
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Comparison of the Bayesian and Frequentist Estimation of the Inbreeding Coefficient
Zhenyi Xue, Becton, Dickinson, and Company
10:00 AM
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A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM
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Free Lunches with Sparse Bayesian Nonparametric Learning: A Probabilistic Exploration of Lower Dimensional Structure Discovery with Sparse High-Dimensional Data
Anjishnu Banerjee, Medical College of Wisconsin
10:05 AM
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Multi-Platform Integration: Pathway-Based IBAG and Gene-Specific Epigenetic Profiles
Jeffrey S. Morris, MD Anderson Cancer Center; Elizabeth McGuffey, U.S. Naval Academy; Yusha Liu, Rice University; Veera Baladandayuthapani, MD Anderson Cancer Center; Keith A. Baggerly, MD Anderson Cancer Center
10:35 AM
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Approximate Bayesian Computation for Compartmental Epidemic Models: Methods and Software
Grant Donald Brown, University of Iowa; Aaron T. Porter, Colorado School of Mines; Jacob J. Oleson, University of Iowa
10:35 AM
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A Hybrid M-Estimation Method with Application in Simultaneous Tuning and Calibration for Computer Experiments
Gang Han, Texas A&M University; Ao Yuan, Georgetown University; Qizhai Li, Chinese Academy of Sciences; Haiqun Lin, Yale School of Public Health; Thomas Santner, The Ohio State University
10:35 AM
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Spatiotemporal Modeling with Applications to Stroke Mortality and Data Privacy
Harrison Quick, CDC
10:35 AM
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A Bayesian Approach to Smoothed Lexis Diagram with Applications to Breast Cancer
I-Shou Chang, National Health Research Institutes
10:35 AM
|
Bayesian Threshold Regression for Multivariate Current Status Data with Informative Censoring
Michael Pennell, The Ohio State University; Tao Xiao, Shenzhen University
10:35 AM
|
An Auxiliary-Variable Gibbs Sampler for Diffusions
Vinayak Rao, Purdue University; Yee Whye Teh, University of Oxford
10:35 AM
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Pattern Discovery of Health Curves with an Ordered Probit Model and Functional PCA
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jason Sutherland, University of British Columbia School of Population and Public Health
10:35 AM
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Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration
Liangliang Zhang, Michigan State University; Tapabrata Maiti, Michigan State University; Chae Young Lim, Seoul National University; Jongeun Choi, Michigan State University; Seungik Baek, Michigan State University
10:50 AM
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A Hidden Markov Model for Animal Soical Networks
Meridith L. Bartley, Penn State University; Ephraim M. Hanks, Penn State University; David P. Hughes, Penn State University
10:50 AM
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Efficient Bayesian Posterior Sampling for Massive Data Sets
Reihaneh Entezari; Radu V. Craiu, University of Toronto; Jeffrey S. Rosenthal, University of Toronto
10:50 AM
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Parameter Inference and Model Selection in Deterministic and Stochastic Dynamical Models
Jennifer Hoeting , Colorado State University; Libo Sun, Janssen R&D; Chihoon Lee, Stevens Institute of Technology
10:55 AM
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Bayesian Model Selection Based on Proper Scoring Rules
Philip Dawid, University of Cambridge; Monica Musio, University of Cagliari
11:00 AM
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Modeling Material Stress Using Integrals of Gaussian Markov Random Fields
Peter Marcy, Los Alamos National Laboratory; Scott Vander Wiel, Los Alamos National Laboratory; Curtis Storlie, Mayo Clinic
11:05 AM
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Gaussian Process Emulator-Based Inference for Spatial Models of Infectious Disease Systems
Rob Deardon, University of Calgary; Gyanendra Pokharel, University of Calgary
11:15 AM
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Solving Complex Statistical Problems in Network Meta-Analysis
Jing Zhang, University of Maryland; Lei Nie, FDA; Ram Tiwari, FDA/CDER/OT/OB; Angelo De Claro, FDA; Chia-Wen Ko, FDA
11:15 AM
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Extension to the Bayesian Improved Surname Geocoding (BISG) Method
Marc N. Elliott, RAND Corporation; Amelia M. Haviland, Carnegie Mellon University; Ann Haas, RAND Corporation; John Adams, Kaiser Permanente; Joshua Mallet, RAND Corporation; Jake Dembosky, RAND Corporation; Sarah Gaillot, Centers for Medicare and Medicaid Services; Samuel "Chris" Haffer, Centers for Medicare and Medicaid Services
11:15 AM
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Particle Swarm Optimization--Assisted Metropolis Hastings Algorithms
Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
11:15 AM
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Clustering of Soil Geochemical and Mineralogical Data from the Conterminous United States Using a Bayesian Finite Mixture Model
Karl Ellefsen, U.S. Geological Survey; Laurel Woodruff, U.S. Geological Survey; David Smith, U.S. Geological Survey; William Cannon, U.S. Geological Survey; Federico Solano, U.S. Geological Survey
11:20 AM
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Bayesian Design of Phase II Noninferiority (NI) Safety Clinical Trial
Lu-May Chiang, Novartis Pharma; David Ohlssen, Novartis; Dong Xi, Novartis
11:20 AM
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Efficient Large-Scale Variable Selection in Complex Lifetime Models
Sanjib Basu, Northern Illinois University; Arnab Maity, Northern Illinois University
11:35 AM
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Multiple Imputation for Survey Integration Under Informative Sampling
Seho Park, Iowa State University; Jae-kwang Kim, Iowa State University
11:35 AM
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Bayesian Neural Network for Predicting Survival Time of Competing Risks
Taysseer Sharaf, Slippery Rock University
11:35 AM
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Using Machine Learning Algorithms for Handling Missingness: Application to Predicting Drug-Disease and Drug-Drug Interactions
Ruoshui Zhai, Brown University; Roee Gutman, Brown University
11:35 AM
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Statistical Issues for Safety Monitoring of Recurrent Adverse Events in Clinical Trials
LiAn Lin, Merck Research Laboratories; Greg Ball, Merck Research Laboratories; William William Wang, Merck Research Laboratories
11:35 AM
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A Bayesian Approach to Modeling Atomic Structural Disorder
Karl Pazdernik; Brian J. Reich, North Carolina State University; Katharine Page, Oak Ridge National Laboratory
11:35 AM
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Computational Enhancements to Bayesian Design of Experiments Using Gaussian Processes
Brian Phillip Weaver, Los Alamos National Laboratory
11:50 AM
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Partial Order Markov Chain Monte Carlo for Bayesian Networks
James Henderson, University of Michigan; George Michailidis, University of Florida
11:50 AM
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Sufficient Burn-In for the Random-Walk Metropolis Algorithm
David Spade, University of Missouri - Kansas City
11:50 AM
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Fully Bayesian Inference in Functional Principal Component Analysis for the Opioid Dependence Treatment Data
Jun Ye; Yehua Li, Iowa State University; Yongtao Guan, University of Miami
12:05 PM
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Scalable Bayesian Variable Selection for Structured Data
Suprateek Kundu, Emory University; Changgee Chang, Emory University; Qi Long, Emory University
12:05 PM
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Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times
Peter F. Thall, MD Anderson Cancer Center; Yanxun Xu; Peter Mueller, The University of Texas at Austin; Abdus S. Wahed, University of Pittsburgh
2:05 PM
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Case Studies in Academic-Industry-Government Collaborations in Bayesian Adaptive Clinical Trials
Bradley Carlin, University of Minnesota
2:05 PM
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Accounting for Uncertainty in Confounder and Effect Modifier Selection When Estimating Average Causal Effects in Generalized Linear Models
Chi Wang, University of Kentucky; Francesca Dominici, Harvard T.H. Chan School of Public Health; Giovanni Parmigiani, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:05 PM
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Quantifying the Causal Effect of Speed Cameras on Road Traffic Accidents via an Approximate Bayesian Doubly Robust Estimator
Daniel Graham, Imperial College London; Haojie Li, Southeast University
2:20 PM
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The Modified Weibull Geometric Distribution: Properties and Estimations
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University
2:20 PM
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A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
George Karabatsos, University of Illinois at Chicago
2:25 PM
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Epigenome Isoform Analysis with Applications
Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Weixiang Fang, Johns Hopkins Bloomberg School of Public Health
2:45 PM
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A Bayesian Nonparametric Causal Inference Model for Comparative Effectiveness Research
Chenguang Wang, The Johns Hopkins University
2:45 PM
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The Microclustering Property: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Abbas Zaidi, Duke University; Angie Shen, Duke University
2:50 PM
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Using Adaptive Designs to Avoid Selecting the Wrong Arms in a Comparative Effectiveness Trial
Byron Gajewski, University of Kansas Medical Center
2:50 PM
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Adaptive Bayesian Inference in Nonlinear Regression
Ji-Yeon Yang, Kumoh National Institute
2:50 PM
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Making Sense of Digital Experiments with Bayesian Nonparametrics
Matt Taddy, Chicago Booth
2:55 PM
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A Novel Bayesian Model for the Local False Discovery Rate
Wesley Thompson, University of California at San Diego; Rong Zablocki, University of California at San Diego; Richard Levine, San Diego State University
2:55 PM
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Parallel Computing for Spatio-Temporal Bayesian Models
Francisco Beltran, Lawrence Livermore National Laboratory; Bruno Sanso, University of California at Santa Cruz
2:55 PM
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Bayesian Semiparametric Latent Mediation Model
Chanmin Kim, Harvard; Michael Daniels, The University of Texas at Austin; Yisheng Li, MD Anderson Cancer Center
3:05 PM
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Quantile Graphical Models: An Approximate Bayesian Approach
Nilabja Guha, Texas A&M University; Bani K. Mallick, Texas A&M University
3:05 PM
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Batch Effects in Genomics Data
Florian Buettner; Oliver Stegle, EMBL-European Bioinformatics Institute
3:25 PM
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A Calibrated Bayesian Method for Propensity Score Estimation
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University
3:35 PM
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Bayesian Model Averaging Applied to Tuberculosis and HIV Research Studies
Brock Stewart, CDC; Charles E. Rose, CDC; Yi Pan, CDC
3:35 PM
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Thursday, 08/04/2016
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Bayesian Combining Information Sources with Applications in Climate
L Mark Berliner, The Ohio State University
8:35 AM
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Solar Spectral Analyses with Uncertain Physical Models
Nathan M. Stein, University of Pennsylvania
8:35 AM
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Is Q-Learning a Valid Method of Knowing?
Francisco Diaz, University of Kansas Medical Center
8:35 AM
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A Bayesian Approach to Multivariate Signal Extraction
Christopher Hassett, University of Missouri; Scott H. Holan, University of Missouri; Tucker McElroy, U.S. Census Bureau
8:35 AM
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Generalized Orthant Normal and L1-Regularized G Priors
Christopher Hans, The Ohio State University
8:35 AM
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Bayesian Dynamic Linear Models for Strategic Asset Allocation
Jared Fisher, The University of Texas McCombs School of Business; Carlos Carvalho, The University of Texas; Davide Pettenuzzo, Brandeis University
8:50 AM
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Dirichlet Process Mixture of Voigt Profiles with Application to Peak Detection in X-Ray Photoelectron Spectroscopy Data
Anton Lobach, University of Rhode Island; Gavino Puggioni, University of Rhode Island; David Heskett, University of Rhode Island; Benjamin Young, Rhode Island College
8:50 AM
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Bayesian Method for Testing Differential Directed Acyclic Graphs
Hongmei Zhang, University of Memphis; Xianzheng Huang, University of South Carolina; Shengtong Han, The University of Chicago; Wilfried Karmaus, University of Memphis
8:50 AM
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A Bayesian Approach for Envelope Models
Zhihua Su; Kshitij Khare, University of Florida; Subhadip Pal, Emory University
8:55 AM
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Region-Wise Variable Selection with Bayesian Group Lasso
Sayan Chakraborty, Michigan State University; Tapabrata Maiti, Michigan State University
9:05 AM
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Locally Adaptive Bayesian Nonparametric Inference for Phylodynamics
James R. Faulkner, University of Washington; Vladimir Minin, University of Washington
9:05 AM
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Bayesian Estimate of PIN Model
Yu HUAN, Peking University; Junni ZHANG, Peking University; Mingjin WANG, Peking University
9:20 AM
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On Some Aspects of Bayesian Multiple Testing and Decision Making
Emrah Gecili; Siva Sivaganesan, University of Cincinnati
9:20 AM
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Model-Based Clustering with Measurement Errors
Wanli Zhang, Oregon State University; Yanming Di, Oregon State University
9:20 AM
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Multivariate Latent Structure in Bayesian Spatio-Temporal Health Models
Andrew B. Lawson, Medical University of South Carolina
9:25 AM
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A Restricted Most Powerful Bayesian Test for Equality of Means in High Dimension via Random Projections
Roger Zoh, Texas A&M University; Abhra Sarkar, Duke University; Raymond Carroll, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM
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Bayesian Generalized ANOVA Modeling for Functional Data Using INLA
Yu Yue, Baruch College; David Bolin, Chalmers University of Technology; Havard Rue, Norwegian University of Science and Technology; Xiao-feng Wang, Cleveland Clinic Lerner Research Institute
9:50 AM
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A New Stochastic Regime-Switching Model with Time-Varying Regression Coefficients and Error Variances
Xiaojin Dong, SUNY Stony Brook
9:50 AM
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Hierarchical Statistical Analysis of Binary Spatial Data Using Kernel Principal Component Analysis
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong
9:50 AM
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Efficient Methods for Fitting Bayesian Semiparametric Models to Partly Interval-Censored Data
Haiming Zhou, Northern Illinois University; Timothy Hanson, University of South Carolina
9:50 AM
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Scalable Bayesian Variable Selection and Model Averaging Under Block Orthogonal Design
Omiros Papaspiliopoulos; David Rossell, University of Warwick
10:05 AM
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Bayesian Approach to Design and Analysis of Composite Endpoints in Clinical Trials with Multiple Dependent Binary Outcomes
Boris G. Zaslavsky, FDA/CBER
10:35 AM
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High-Dimensionality Effects on the Efficient Frontier
Rituparna Sen, Indian Statistical Institute
10:35 AM
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Bayesian Signal-Response Data Nondestructive Inspection Test Planning
Yew-Meng Koh, Hope College; William Q. Meeker, Iowa State University
10:35 AM
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Bayesian Joint Modeling of Longitudinal Data on Frequency and Intensity of Drinking in Alcoholism Trials
Eugenia Buta, Yale University; Stephanie O'Malley, Yale University; Ralitza Gueorguieva, Yale University
10:35 AM
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Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction
John Tipton, Colorado State University; Mevin Hooten, Colorado State University; Robert Booth, Lehigh University; Connor Nolan, University of Arizona
10:35 AM
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Bayesian Mixture Response Analysis for Pre-Clinical in Vivo Anti-Cancer Drug Efficacy Investigations
David Gold, Bristol-Myers Squibb; Ningning Chen, Apple
10:50 AM
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Weighted Dirichlet Process Mixture GARCH Model for Predicting Stock Price
Inyoung Kim, Virginia Tech; Peng Sun, Virginia Tech
10:50 AM
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Individualizing Prognosis of Disease Trajectories Using Longitudinal Electronic Medical Record Data: Application to Scleroderma
Suchi Saria, The Johns Hopkins University; Peter Schulam, The Johns Hopkins University
11:00 AM
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Coupling of Particle Filters with Applications to Score and Smoothing Estimators
Pierre E. Jacob, Harvard; Fredrik Lindsten, Uppsala University; Thomas Schön, Uppsala University
11:05 AM
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Design and Analysis of Discrete Choice Experiments in the Presence of Profile Order Effects Within Choice Sets
Roselinde Kessels, University of Antwerp; Robert Mee, University of Tennessee
11:05 AM
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Multiplicity-Adjusted Evidence Weights for Characterizing Associations of Phenotypes with Genotypes
Wenjian Bi; Stanley Pounds, St. Jude Children's Research Hospital; Guolian Kang, St. Jude Children's Research Hospital
11:05 AM
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Can Wikipedia Improve Flu Forecasts in the United States?
Dave Osthus, Los Alamos National Laboratory; Reid Priedhorsky, Los Alamos National Laboratory; Jim Gattiker, Los Alamos National Laboratory; Sara Del Valle, Los Alamos National Laboratory
11:15 AM
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Selection-Adjusted Bayesian Inference in the Linear Model
Asaf Weinstein; Jonathan Taylor, Stanford University; Snigdha Panigrahi, Stanford University
11:15 AM
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Using the Latent Correlations to Measure the Association Between Continuous and Binary Markers with Repeated Measurements
Dai Feng, Merck; Vladimir Svetnik, Merck
11:20 AM
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A Bivariate Bayesian Occupancy Model for Large Herbivores in Serengeti National Park
Staci Hepler, Wake Forest University; Robert Erhardt, Wake Forest University; T. Michael Anderson, Wake Forest University
11:20 AM
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Bayesian Analysis of Testing General Hypotheses in Linear Models with Spherically Symmetric Errors
Min Wang, Michigan Technological University
11:20 AM
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Bayesian Modeling of High-Frequency Crude Oil Prices
Jonathan Stroud, Georgetown University; Michael Johannes, Columbia University; Norman Seeger, VU University
11:25 AM
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Bayesian Estimators of the Odd Weibull Distribution with Censored Data
Chin-I Cheng; Kahadawala Cooray , Central Michigan University
11:35 AM
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Use of Co-Data in Clinical Trials with Time-to-Event Endpoint
Satrajit Roychoudhury, Novartis
11:35 AM
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Causal Inference in Observational Studies using data integration in large scales and creating strong instrumental variables
Azam Yazdani; Akram Yazdani, The University of Texas Health Science Center at Houston; Ahmad Samiei, Hasso-Plattner-Institut für Softwaresystemtechnik; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:35 AM
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Does Improvement of Customer Satisfaction Always Create Shareholder Value? An Empirical Study of the American Customer Satisfaction Index
Qian Chen; Duncan Fong, Penn State University; Rui Wang, Peking University; Zhe Chen, Google
11:50 AM
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