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
Activity Details
4
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W185bc
High-Dimensional Bayesian Statistics: Spike-and-Slab and Global-Local Shrinkage — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society
Organizer(s): Anindya Bhadra, Purdue University
Chair(s): Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute
2:05 PM
Global-Local Shrinkage Priors for Variable Selection and an Oracle Property
—
Malay GHosh, University of Florida
2:30 PM
The Spike and Slab Lasso
—
Veronika Rockova, The Wharton School ; Edward I. George, The Wharton School
2:55 PM
Global-Local Shrinkage with Horseshoe Priors
—
Nicholas Polson, The University of Chicago
3:45 PM
Floor Discussion
16 !
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W186a
Practical Utility-Based Bayesian Clinical Trial Design — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA)
Organizer(s): Peter F. Thall, MD Anderson Cancer Center
Chair(s): Peter F. Thall, MD Anderson Cancer Center
2:05 PM
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
2:25 PM
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
2:45 PM
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
3:05 PM
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
3:45 PM
Floor Discussion
23
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W186b
Bayesian Prediction — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): Bertrand Clarke, University of Nebraska
Chair(s): Bertrand Clarke, University of Nebraska
2:05 PM
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
2:25 PM
Model Averaging Versus Model Selection
—
Tri Le, University of Nebraska ; Bertrand Clarke, University of Nebraska
2:45 PM
Efficient Importance Sampling Methods for Estimating Parameters in SGLMMs and Improving Prediction
—
Vivekananda Roy, Iowa State University
3:05 PM
Advanced Algorithmic Implementations of Bayesian Inference in Cosmology
—
Jeffrey Jewell, Jet Propulsion Laboratory
3:25 PM
Standard Errors, Solution Paths, and Selection of Tuning Parameters for Bayesian Lassos
—
Sounak Chakraborty, University of Missouri - Columbia ; Vivekananda Roy, Iowa State University
3:45 PM
Floor Discussion
33
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W177
Efficient Methods for Structured Large Genomics Data — Contributed Papers
Section on Statistics in Genomics and Genetics , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Jing Ma, University of Pennsylvania
2:05 PM
Integrative Analysis of Transcriptomic and Metabolomic Data via Sparse Canonical Correlation Analysis with Incorporation of Biological Information
—
Sandra Safo, Emory University ; Qi Long, Emory University
2:20 PM
Statistical Inference in Partially Observed Stochastic Compartmental Models with Application to Cell Lineage Tracking of In-Vivo Hematopoiesis
—
Jason Xu, University of Washington ; Vladimir Minin, University of Washington ; Peter Guttorp, University of Washington ; Samson Koelle, University of Washington ; Janis Abkowitz, University of Washington ; Chuanfeng Wu, National Heart, Lung, and Blood Institute ; Cynthia Dunbar, National Heart, Lung, and Blood Institute
2:35 PM
An Empirical Bayes Approach to Adjust for Hidden Confounders in Large-Scale Gene Expression Studies
—
David Gerard, The University of Chicago ; Matthew Stephens, The University of Chicago
2:50 PM
Big Data Regression and Prediction for High-Throughput Genomic Data
—
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health ; Ben Sherwood, Johns Hopkins Bloomberg School of Public Health ; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health ; Fang Du, Johns Hopkins Bloomberg School of Public Health ; Jiawei Bai, Johns Hopkins Bloomberg School of Public Health ; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
3:05 PM
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
3:20 PM
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
3:35 PM
RefCNV: Identification of Gene-Based Copy Number Variants Using Whole-Exome Sequencing
—
Lun-Ching Chang, National Cancer Institute ; Biswajit Das, Leidos Biomedical Research ; Chih-Jian Lih, Leidos Biomedical Research ; Corrine Camalier, Leidos Biomedical Research ; Paul Mcgregor, Leidos Biomedical Research ; Eric Polley, National Cancer Institute
43
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W187a
Bayesian Models and Applications — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Mehdi Maadooliat, Marquette University
2:05 PM
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
2:20 PM
Bayesian Matrix Autoregressive Models
—
Seyed Yaser Samadi, Southern Illinois University Carbondale ; Lynne Billard, University of Georgia
2:35 PM
Reliability Growth Test and Evaluation for Multistate Systems
—
Thomas Mazzuchi, The George Washington University
2:50 PM
A Bayesian Decision Theoretic Methodology for Analyzing Gene Expression Data Under Skewed Alternatives
—
Naveen Bansal, Marquette University
3:05 PM
Consensus and Disagreement Among Distributions for Bayesian Inference
—
Ehsan Soofi, University of Wisconsin - Milwaukee ; Mehdi Shoja, Citigroup
3:20 PM
Imputing Drone Strikes Casualty Counts Given Estimated Interval Ranges
—
Earvin Balderama, Loyola University Chicago
3:35 PM
Markov Marked Space-Time Point Process Models in a Bayesian Framework with Applications
—
Athanasios Micheas, University of Missouri ; Christopher Wikle, University of Missouri
46 *
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W176b
Modeling, Analysis, and Inference from Surveys Using Bayesian Methods — Invited Papers
Survey Research Methods Section , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Maria DeYoreo, Duke University
Chair(s): Satkartar Kinney, RTI International
4:05 PM
Nonparametric Bayes Modeling with Sample Survey Weights
—
Tsuyoshi Kunihama, University of Washington ; Amy Herring, The University of North Carolina at Chapel Hill ; Carolyn Halpern, The University of North Carolina at Chapel Hill ; David Dunson, Duke University
4:25 PM
The Use of Sampling Weights in Bayesian Hierarchical Models for Small-Area Estimation
—
Cici Bauer, Brown University
4:45 PM
Survey Integration and Estimation of Joint Distributions with Conditionally Representative Data Sources
—
Maria DeYoreo, Duke University ; Bailey Fosdick, Colorado State University
5:05 PM
Scalable Bayes Under Informative Sampling
—
Terrance Savitsky, Bureau of Labor Statistics ; Sanvesh Srivastava, University of Iowa
5:25 PM
A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values
—
Trivellore Raghunathan, University of Michigan
5:45 PM
Floor Discussion
62 !
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W178b
Recent Advances in Bayesian Nonparametric Methods — Topic Contributed Papers
Section on Nonparametric Statistics , Section on Bayesian Statistical Science , IMS , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Peter Mueller, The University of Texas at Austin
Chair(s): Peter Mueller, The University of Texas at Austin
4:05 PM
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
4:25 PM
On time-dependent Gibbs-type random probability measures
—
Igor Pruenster, Bocconi University
4:45 PM
On the transition function of some time-dependent Dirichlet and gamma processes
—
Antonio Lijoi, University of Pavia
5:05 PM
Posterior Contraction of the Population Structure in Admixture Models
—
Long Nguyen
5:25 PM
On GEM diffusive mixtures
—
Ramses Mena, Universidad Nacional Autónoma de México ; Luis Gutierrez, Universidad de Chile
5:45 PM
Floor Discussion
68
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W181a
SBSS Student Travel Award Session 1 — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Tanzy Love, University of Rochester
Chair(s): Tanzy Love, University of Rochester
4:05 PM
Analyzing MCMC Output
—
Dootika Vats, University of Minnesota - Twin Cities ; James Flegal, University of California at Riverside ; Galin Jones, University of Minnesota - Twin Cities
4:25 PM
Bayesian Multiple Imputation Procedures to Equate Health Assessment Questionnaires
—
Chenyang Gu, Brown University ; Roee Gutman, Brown University
4:45 PM
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
5:05 PM
A Bayesian Multivariate Functional Dynamic Linear Model
—
Daniel Ryan Kowal, Cornell University ; David Matteson, Cornell University ; David Ruppert, Cornell University
5:25 PM
Modeling Spatial Compositional Data: Reconstructions of Past Land Cover and Uncertainties
—
Behnaz Pirzamanbein, Lund University ; Johan Lindström, Lund University ; Anneli Poska, Lund University ; Marie-José Gaillard-Lemdahl, Linnaeus University
5:45 PM
Floor Discussion
75 * !
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W194a
Bayesian Methods and Applications — Contributed Papers
Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Paulette Ceesay, Merck
4:05 PM
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
4:20 PM
Comparing Parametric and Semiparametric Bayesian Models for Subgroup Analysis in Clinical Trials
—
Margaret Gamalo-Siebers, Eli Lilly and Company
4:35 PM
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
4:50 PM
Shelf Life Estimation: Bayesian Approach
—
Maryna Ptukhina ; Walter Stroup, University of Nebraska - Lincoln
5:05 PM
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
5:35 PM
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
84
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W181b
Bayesian Temporal and Spatio-Temporal Modeling — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Jenny Brynjarsdottir, Case Western Reserve University
4:05 PM
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
4:20 PM
A Bayesian Approach to Measuring the Nonstationarity of a Time Series
—
Sourav Das ; Guy Nason, University of Bristol
4:35 PM
Approximate Marginal Posterior for Log Gaussian Cox Processes
—
Shinichiro Shirota, Duke University ; Alan E. Gelfand
4:50 PM
Detecting Change Points in Climatic Data Using Bayesian Analysis
—
Cezareo Rodriguez ; Andrew Bartlett, Southern Illinois University Edwardsville
5:05 PM
Bayesian Inference in a PDE-Based Model of Exhaled Nitric Oxide
—
Patrick Muchmore ; Sandrah P. Eckel, University of Southern California
5:20 PM
A Dynamic Spatio-Temporal Model for Areal Data Applied to Dengue Disease Mapping
—
Gavino Puggioni, University of Rhode Island
5:35 PM
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
88
Sun, 7/31/2016,
6:00 PM -
8:00 PM
CC-Hall F1 West
The Extraordinary Power of Data — Invited Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistical Graphics , Section on Statistics in Imaging , Business and Economic Statistics Section , Biometrics Section , ENAR , Section for Statistical Programmers and Analysts , Scientific and Public Affairs Advisory Committee , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistics in Marketing , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Tyler McCormick, University of Washington
1:
Communicate Better with R, R Markdown, and Shiny
—
Garrett Grolemund, RStudio
2:
Spectral Filtering for Spatial-Temporal Dynamics
—
Tian Zheng, Columbia University ; Lu Meng, Columbia University
3:
A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data
—
Mohsen Bahrami, Virginia Tech ; Paul Laurienti, Wake Forest School of Medicine ; Thomas Arcury, Wake Forest School of Medicine ; Sean Simpson, Wake Forest School of Medicine
4:
Cascaded High-Dimensional Histograms: A Generative Approach to Density Estimation
—
Siong Thye Goh, MIT ; Cynthia Rudin, Duke University
5:
TV Advertising's Impact on Online Searches
—
Yonathan Schwarzkopf, Google ; Ying Liu, Google ; Makoto Uchida, Google ; Elissa Lee, Google ; Jim Koehler, Google
6:
Modeling Connectivity in High-Dimensional Time Series Data via Factor Analysis
—
Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
7:
Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis
—
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University ; Jonathan Gellar, Mathematica Policy Research ; Philip Reiss, New York University/University of Haifa ; Ani Eloyan, Brown University
8:
Law, Order, and Algorithms
—
Sharad Goel, Stanford University
9:
Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling
—
Jessica Hwang, RAND Corporation ; John Adams, Kaiser Permanente ; Susan M. Paddock, RAND Corporation
10:
Probabilistic Cause-of-Death Assignment Using Verbal Autopsies
—
Tyler McCormick, University of Washington ; Sam Clark, University of Washington ; Zehang Li, University of Washington
11:
We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data
—
David G. Robinson, Stack Overflow
12:
Data Science at Stitch Fix
—
Hilary Parker, Stitch Fix
13:
Text Mining on Domain Names
—
Kenneth E. Shirley, Amazon
14:
Fighting Fraud with Statistics!
—
Alyssa Frazee, Stripe
15:
Forecasting Seasonal Epidemics with Ensemble Methods and Collective Human Judgment
—
Logan Conrad Brooks, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
16:
Geometric Methods for Network Comparison and Multilevel Modeling
—
Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University
17:
Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
—
Manjari Narayan, Rice University ; Genevera Allen, Rice University
18:
Estimating the Causal Impact of Recommendation Systems from Observational Data
—
Amit Sharma, Microsoft Research ; Jake Hofman, Microsoft Research ; Duncan Watts, Microsoft Research
19:
The Future of the Journal Biostatistics
—
Dimitris Rizopoulos, Erasmus University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
20:
Sample Size Calculations for Micro-Randomized Trials in MHealth
—
Peng Liao, University of Michigan ; Ji Sun, University of Michigan ; Susan A. Murphy, University of Michigan
102 * !
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W179a
Advances in Bayesian Regression Tree Modeling — Invited Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , Committee on Applied Statisticians , Conference on Statistical Practice Steering Committee
Organizer(s): Matthew Pratola, The Ohio State University
Chair(s): Matthew Pratola, The Ohio State University
8:35 AM
BART for Classification
—
Robert B. Gramacy, The University of Chicago
9:00 AM
Dispersion Modeling with an Ensemble of Trees
—
Hugh Chipman, Acadia University ; Matthew Pratola, The Ohio State University ; Robert McCulloch, The University of Chicago ; Edward I. George, The Wharton School
9:25 AM
Nonparametric Regression with Instrumental Variables
—
Purushottam Laud, Medical College of Wisconsin ; Robert McCulloch, The University of Chicago ; Rodney Sparapani, Medical College of Wisconsin
9:50 AM
Bayesian Additive Regression Trees: Extensions and Embedding in Complex Models
—
Jared S. Murray, Carnegie Mellon University
10:15 AM
Floor Discussion
139
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W177
Bayesian Nonparametrics — Contributed Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA)
Chair(s): Robert Richardson, Brigham Young University
8:35 AM
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
8:50 AM
The Attraction Indian Buffet Distribution
—
David Dahl, Brigham Young University ; Arthur Lui, University of California at Santa Cruz
9:05 AM
Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
—
Gregory Watson, University of California at Los Angeles ; Donatello Telesca, University of California at Los Angeles
9:20 AM
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
9:35 AM
A Bayesian Formulation for Capturing Population Heterogeneity
—
Junxian Geng, Florida State University ; Elizabeth Slate, Florida State University
9:50 AM
A Nonparametric Bayesian Approach for Sparse Sequence Estimation
—
Yunbo Ouyang, University of Illinois at Urbana-Champaign ; Feng Liang, University of Illinois at Urbana-Champaign
10:05 AM
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
157 !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W179a
Bayesian Innovations for Negotiating High-Dimensional Data — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Edward I. George, The Wharton School
Chair(s): Edward I. George, The Wharton School
10:35 AM
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
10:55 AM
Fast Sampling with Gaussian Scale-Mixture Priors
—
Anirban Bhattacharya, Texas A&M University
11:15 AM
Empirical Bayes Prediction Under Check Loss
—
Gourab Mukherjee, University of Southern California
11:35 AM
How Many Needles in the Haystack? Adaptive Inference and Uncertainty Quantification for the Horseshoe
—
Stephanie Van Der Pas ; Botond Szabo, Leiden University ; Aad van der Vaart, Leiden University
11:55 AM
Some Properties of the One Group Prior for Sparse High-Dimensional Models
—
Jean-Bernard Salomond
12:15 PM
Floor Discussion
171
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W183b
SPEED: Bayesian Analysis — Contributed Speed
Section on Bayesian Statistical Science , Section on Statistics in Imaging
Chair(s): Michael D. Swartz, The University of Texas Health Science Center at Houston
10:35 AM
Bayesian Aggregation of Rank Data with Covariates
—
Dingdong Yi, Harvard ; Xinran Li, Harvard ; Jun S. Liu, Harvard
10:40 AM
A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease
—
Shu-Ju Lin, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University
10:45 AM
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
10:50 AM
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
10:55 AM
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
11:00 AM
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
11:05 AM
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
11:10 AM
Prediction with Confidence: A General Framework for Prediction
—
Jieli Shen, Rutgers University ; Regina Liu, Rutgers University ; Minge Xie, Rutgers University
11:15 AM
Bayesian Analysis for Survey Data with Margin of Error
—
Yi Mu, CDC
11:20 AM
Convergence Diagnostic for MCMC Draws of a Categorical Variable
—
Benjamin Deonovic, University of Iowa
11:30 AM
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
11:35 AM
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
11:40 AM
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
11:45 AM
Large-Scale MCMC Using GPU with Application in Brain Imaging
—
Yang Yang, University of Minnesota ; Galin Jones, University of Minnesota - Twin Cities
11:50 AM
Rolling Dose Escalation with Overdose Control: An Efficient and Safe Phase 1 Design
—
Jiawen Zhu, RICNY ; Daniel Sabanés Bové, F. Hoffmann-La Roche ; Ulrich Beyer, F. Hoffmann-La Roche
11:55 AM
Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
—
Putu Ayu Sudyanti, Purdue University ; Vinayak Rao, Purdue University ; Hyonho Chun, Purdue University
12:00 PM
Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
—
Matthew Koslovsky
172 *
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W186b
Bayesian Analysis with Health Applications — Contributed Papers
Biometrics Section , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): RAJARSHI GUHANIYOGI, University of California at Santa Cruz
10:35 AM
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
10:50 AM
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
11:05 AM
Practical Considerations in Analyzing Adverse Events with a Robust Mixture Prior
—
Jerry Weaver, Celgene ; Jixian Wang, Celgene
11:20 AM
Data-Driven Confounder Selection via Markov and Bayesian Networks
—
Jenny Haggstrom, Umea University
11:35 AM
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
11:50 AM
Sparse Latent Class Regression for Multivariate Binary Data: A Bayesian Approach
—
Zhenke Wu, The Johns Hopkins University ; Scott L. Zeger, The Johns Hopkins University
12:05 PM
Floor Discussion
184
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W179b
Bayesian Modeling in Life Sciences and Medicine I — Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Risk Analysis
Chair(s): Andrew Womack, Indiana University
10:35 AM
A Spatio-Temporal Model for Protein Structure Evolution and Alignment
—
Gary Larson, Duke University ; Scott Schmidler, Duke University
10:50 AM
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
11:05 AM
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
11:20 AM
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
11:35 AM
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
11:50 AM
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
12:05 PM
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
223 * !
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W187b
Nonparametric Bayesian Methods in Biostatistics — Invited Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Jeremy M. G. Taylor, University of Michigan, Lili Zhao, University of Michigan
Chair(s): Lili Zhao, University of Michigan
2:05 PM
DPOAE Test-Retest Difference Curves via Hierarchical Gaussian Processes
—
Timothy Hanson, University of South Carolina ; Junshu Bao, University of South Carolina ; Garnett McMillan, National Center for Rehabilitative Auditory Research ; Kristin Knight, National Center for Rehabilitative Auditory Research
2:30 PM
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
2:55 PM
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
3:20 PM
Discussant: Peter Mueller, The University of Texas at Austin
3:40 PM
Floor Discussion
235
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W187a
Recent Advances in Bayesian Methodology and Computation for Ultra-High-Dimensional Data — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute
Chair(s): Lou Mariano, RAND Corporation
2:05 PM
Prediction Risk for Global-Local Shrinkage Regression
—
Anindya Bhadra, Purdue University ; Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute ; Yunfan Li, Purdue University ; Nicholas Polson, The University of Chicago ; Brandon Willard, The University of Chicago
2:25 PM
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
2:45 PM
Inference on High-Dimensional Sparse Poisson Means
—
Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute ; David Dunson, Duke University
3:05 PM
Approximations of Markov Chains and Bayesian Inference
—
James Johndrow, Duke University ; Jonathan Mattingly, Duke University ; Sayan Mukherjee, Duke University ; David Dunson, Duke University
3:25 PM
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
3:45 PM
Floor Discussion
248
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W185a
Bayesian Methods for Shrinkage in High-Dimensional and Complex Data — Contributed Papers
Section on Statistical Learning and Data Science , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Jennifer Sniadecki, Ultragenyx
2:05 PM
A Variational Bayesian Algorithm for Variable Selection
—
Xichen Huang ; Jin Wang, University of Illinois ; Feng Liang, University of Illinois at Urbana-Champaign
2:20 PM
Bayesian Regression Using a Prior on the Model Fit
—
Brian Naughton, North Carolina State University ; Howard Bondell, North Carolina State University
2:35 PM
High-Dimensional Linear Regression via the R2-D2 Shrinkage Prior
—
Yan Zhang, North Carolina State University ; Brian J. Reich, North Carolina State University ; Howard Bondell, North Carolina State University
2:50 PM
A Topic Model for Hierarchical Documents
—
Feifei Wang ; Yang Yang, Peking University
3:05 PM
Selecting the Number of Topics in a Latent Dirichlet Allocation Topic Model
—
Dale Bowman, University of Memphis
3:20 PM
Modeling Bipartite Graph Using Dependent Indian Buffet Processes
—
Ketong Wang, University of Alabama ; Michael D. Porter, University of Alabama
3:35 PM
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
251 * !
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W194b
Bayesian Modeling and Applications — Contributed Papers
Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): John Han, Johnson & Johnson
2:05 PM
A Phase 2a Bayesian Adaptive Dose-Ranging Trial Evaluating Hypertension Therapy
—
Richann Liu, Pfizer
2:20 PM
A Simple Bayesian Design to Identify Maximum Tolerated Dose Contour for Drug Combination Trials
—
Liangcai Zhang, Rice University ; Ying Yuan, MD Anderson Cancer Center
2:35 PM
Exploring Bayesian Go/No-Go Decision Criteria in Clinical Trials
—
Rodney Croos-Dabrera, Astellas Pharma ; Misun Lee, Astellas Pharma
2:50 PM
Use of Bayesian Methods in Dose-Escalation Studies
—
Mani Lakshminarayanan, Pfizer
3:05 PM
Precision Medicine: How Bayesian Empirical Subgroup Analysis Plays a Role
—
Judy X. Li, FDA ; Wei-Chen Chen, FDA/CBER ; John Scott, FDA
3:20 PM
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
3:35 PM
Bayesian Modeling of Phase II Dose-Ranging Clinical Trials
—
Shu-Yen Ho, PAREXEL
258
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W187c
Bayesian Theory and Methods — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Michael Baron, American University
2:05 PM
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
2:20 PM
Belief Functions: A Paradigm for Lower-Resolution Probabilistic Inference
—
Ruobin Gong, Harvard ; Xiao-Li Meng, Harvard
2:35 PM
Bayesian Statistics and Information Theory
—
Jose Guardiola, Texas A&M University - Corpus Christi
3:05 PM
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
3:20 PM
Bayesian Single Index Models
—
Kumaresh Dhara, Florida State University ; Debajyoti Sinha, Florida State University ; Debdeep Pati, Florida State University
3:35 PM
Robust Bayesian Inference via the Tilted Posterior
—
Yixin Wang, Columbia University ; David Blei, Columbia University
268
Mon, 8/1/2016,
2:00 PM -
2:45 PM
CC-Hall F1 West
SPEED: Bayesian Analysis, Part 2A — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Genevera Allen, Rice University
21:
Bayesian Aggregation of Rank Data with Covariates
—
Dingdong Yi, Harvard ; Xinran Li, Harvard ; Jun S. Liu, Harvard
22:
A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease
—
Shu-Ju Lin, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University
23:
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
24:
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
25:
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
26:
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
27:
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
28:
Prediction with Confidence: A General Framework for Prediction
—
Jieli Shen, Rutgers University ; Regina Liu, Rutgers University ; Minge Xie, Rutgers University
29:
Bayesian Analysis for Survey Data with Margin of Error
—
Yi Mu, CDC
30:
Convergence Diagnostic for MCMC Draws of a Categorical Variable
—
Benjamin Deonovic, University of Iowa
The oral portion will take place during Session 213160
271
Mon, 8/1/2016,
3:05 PM -
3:50 PM
CC-Hall F1 West
SPEED: Bayesian Analysis, Part 2B — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Genevera Allen, Rice University
21:
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
22:
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
23:
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
25:
Large-Scale MCMC Using GPU with Application in Brain Imaging
—
Yang Yang, University of Minnesota ; Galin Jones, University of Minnesota - Twin Cities
26:
Rolling Dose Escalation with Overdose Control: An Efficient and Safe Phase 1 Design
—
Jiawen Zhu, RICNY ; Daniel Sabanés Bové, F. Hoffmann-La Roche ; Ulrich Beyer, F. Hoffmann-La Roche
27:
Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
—
Putu Ayu Sudyanti, Purdue University ; Vinayak Rao, Purdue University ; Hyonho Chun, Purdue University
28:
Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
—
Matthew Koslovsky
The oral portion will take place during Session 213160
282 *
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W180
Bayesian Methods for Complex Networks — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association , Committee on Applied Statisticians
Organizer(s): Francesco Stingo, MD Anderson Cancer Center
Chair(s): Francesco Stingo, MD Anderson Cancer Center
8:35 AM
Decouple/Recouple: Dynamic Graphical Modeling and Time Series Forecasting
—
Mike West, Duke University ; Lutz Gruber, QuantCo
9:05 AM
A Bayesian Framework for Modeling Human Mobility
—
Adrian Dobra, University of Washington
9:35 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
10:05 AM
Floor Discussion
291 !
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W178a
Bridging BFF (Bayesian/Frequentist/Fiducial) Inferences in the Era of Data Science (No. 1) — Invited Papers
IMS , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Organizer(s): Thomas Lee, University of California at Davis
Chair(s): Randy Lai, University of Maine
8:35 AM
Combining Inference Across Diverse Information Sources via Confidence Distributions: The II-CC-FF Paradigm
—
Nils Lid Hjort, University of Oslo
9:00 AM
Bayesian Inference with Half a Prior
—
Keli Liu, Stanford University ; Xiao-Li Meng, Harvard
9:25 AM
Generalized Fiducial Inference for High-Dimensional Sparse Additive Models
—
Thomas Lee, University of California at Davis ; Randy Lai, University of Maine
9:50 AM
Objective Bayesian Analysis Under Partial Invariance
—
Xiaoyan Lin, University of South Carolina ; James Berger, Duke University ; Dongchu Sun, University of Missouri
10:15 AM
Floor Discussion
304 *
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W195
Innovative Bayesian Applications in Drug Development — Topic Contributed Papers
Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association , Committee on Applied Statisticians
Organizer(s): Fanni Natanegara, Eli Lilly and Company
Chair(s): JonDavid Sparks, Eli Lilly and Company
8:35 AM
Bayesian Framework in Small Sample Trials
—
Freda Cooner, FDA/CDER/OTS/OB/DB2
8:55 AM
Innovative Bayesian Applications in Clinical Trials
—
Soumi Lahiri, GlaxoSmithKline ; Satrajit Roychoudhury, Novartis
9:15 AM
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
9:35 AM
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
9:55 AM
Discussant: Fanni Natanegara, Eli Lilly and Company
10:15 AM
Floor Discussion
322
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W182
Bayesian Modeling in Life Sciences and Medicine II — Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA)
Chair(s): Anjishnu Banerjee, Medical College of Wisconsin
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
8:50 AM
What's in That Ecology? A Latent Factor Dirichlet-Multinomial Model for Metagenomic Count Data
—
John O'Brien, Bowdoin College
9:05 AM
Bayesian Implementation of Integrated Population Models
—
Robert Richardson, Brigham Young University
9:20 AM
Analysis of RNA-Seq Data Using a Family of Negative Binomial Models
—
Lili Zhao, University of Michigan ; Weisheng Wu, University of Michigan ; Dai Feng, Merck ; Hui Jiang, University of Michigan ; XuanLong Nguyen, University of Michigan
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
9:50 AM
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
10:05 AM
Using Hierarchical Models to Understand P300-Wave--Based Brain-Computer Interface Performance Among Disabled Adults
—
Maryclare Griffin ; Peter Hoff, University of Washington
323 * !
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W175c
Bayesian and Advanced Analytic Methods in Health Policy — Contributed Papers
Health Policy Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Wei Shen, Eli Lilly and Company
8:35 AM
Least Squares Regression Methods for Clustered ROC Data with Discrete Covariates
—
Liansheng Tang, George Mason University/National Institutes of Health ; Wei Zhang, Chinese Academy of Sciences ; Qizhai Li, Chinese Academy of Sciences ; Xuan Ye, George Mason University/FDA ; Leighton Chan, National Institutes of Health
9:05 AM
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
9:20 AM
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
9:35 AM
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
9:50 AM
Predictive Modeling of Inpatient Fall of Stroke Patients Using electronic medical records data
—
Yin Liu, Princeton Pharmatech ; Cindy Jin, Lawrenceville School ; Jeffrey Yangang Zhang, Princeton Pharmatech
CE_25C
Tue, 8/2/2016,
8:30 AM -
5:00 PM
CC-W474
Adaptive Methods for Modern Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): Frank Bretz, Novartis Pharma, Byron Jones, Novartis Pharma, Peter Mueller, The University of Texas at Austin
8:30 AM
Adaptive Methods for Modern Clinical Trials (ADDED FEE)
—
Byron Jones, Novartis Pharma ; Frank Bretz, Novartis Pharma ; Peter Mueller, The University of Texas at Austin
330 !
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W187b
JCGS Highlights: Advances in Bayesian and MCMC Methodologies — Invited Papers
JCGS-Journal of Computational and Graphical Statistics , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Organizer(s): Thomas Lee, University of California at Davis
Chair(s): Thomas Lee, University of California at Davis
10:35 AM
Using Surrogate Target Distributions to Improve Gibbs-Type Samplers
—
David A. van Dyk, Imperial College London ; Xiyun Jiao, Imperial College London
11:05 AM
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
11:35 AM
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
12:05 PM
Floor Discussion
351
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W178a
SBSS Student Travel Award Session 2 — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Tanzy Love, University of Rochester
Chair(s): David Dahl, Brigham Young University
10:35 AM
Geometrically Tempered Hamiltonian Monte Carlo
—
Akihiko Nishimura, Duke University ; David Dunson, Duke University
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
11:15 AM
Designing Test Information and Test Information in Design
—
David Jones, Harvard ; Xiao-Li Meng, Harvard
11:35 AM
Establishing Consistency and Improving Uncertainty Estimates of Variational Inference Through M-Estimation
—
Theodore Westling, University of Washington ; Tyler McCormick, University of Washington
11:55 AM
Truncated Completely Random Measures
—
Trevor Campbell, MIT ; Jonathan Huggins, MIT ; Tamara Broderick, MIT ; Jonathan How, MIT
12:15 PM
Floor Discussion
367
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W175c
Bayesian Model Selection — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Paul Kidwell, Roofstock
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
10:50 AM
Locally Adaptive Shrinkage for Regression on Posets of Predictors
—
Andrew Womack, Indiana University
11:05 AM
A Unified Approach to Information-Theoretic and Bayesian Model-Selection Criteria
—
Hamparsum Bozdogan, University of Tennessee ; Maomi Ueno, Chiba University
11:20 AM
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
11:35 AM
Bayesian Model Selection in Generalized Linear Model
—
Guiling Shi
11:50 AM
Bayesian Model Selection of Shape Constraints for Nonparametric Regression
—
Peter Lenk, University of Michigan ; Taeryon Choi, Korea University
12:05 PM
Detecting Hidden Additivity in Unreplicated Studies Using Bayesian Model Selection
—
Christopher T. Franck, Virginia Tech ; Thomas Anthony Metzger, Virginia Tech
368
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W176a
Bayesian Spatial Modeling — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Chair(s): Margaret Short, University of Alaska Fairbanks
10:35 AM
Bayesian Cure Rate Survival Model with Spatially Structured Censoring
—
Georgiana Onicescu ; Andrew B. Lawson, Medical University of South Carolina
10:50 AM
Alternative Approach to Modeling Areal-Level Spatial Data Using Basis Functions
—
Ghadeer Mahdi, University of Arkansas ; Avishek Chakraborty, University of Arkansas ; Mark Arnold, University of Arkansas
11:05 AM
A Spatial Shrinkage Prior for Sparse Signal Detection
—
An-Ting Jhuang, North Carolina State University ; Brian J. Reich, North Carolina State University ; Montse Fuentes, North Carolina State 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
11:35 AM
Spatial Mixture Multiscale Modeling for Aggregated Health Data
—
Mehreteab Aregay, Medical University of South Carolina ; Andrew B. Lawson, Medical University of South Carolina
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
12:05 PM
Bayesian Inversion of a Large Spatial Field Using Predictive Process
—
Anirban Mondal, Case Western Reserve University
409 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W375b
Bridging BFF (Bayesian/Frequentist/Fiducial) Inferences in the Era of Data Science (No. 2) — Invited Papers
Section on Bayesian Statistical Science , IMS , International Society for Bayesian Analysis (ISBA)
Organizer(s): Minge Xie, Rutgers University
Chair(s): Regina Liu, Rutgers University
2:05 PM
Objective Bayes, Confidence Distributions, and Fiducial Inference
—
BRAD EFRON, Stanford University
2:30 PM
Confidence Distribution for Bridging Posterior Probabilistic Inferences
—
Minge Xie, Rutgers University
2:55 PM
Being Bayesian in a Big Data World
—
David Banks, Duke University
3:20 PM
Fiducial Inference: Fisher's Big Blunder or Big Bang?
—
Keli Liu, Stanford University ; Xiao-Li Meng, Harvard
3:45 PM
Floor Discussion
411 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W186c
Large-Scale Variational Bayesian Inference — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): Patrick Flaherty, University of Massachusetts - Amherst
Chair(s): Patrick Flaherty, University of Massachusetts - Amherst
2:05 PM
Robust Inference with Variational Bayes
—
Tamara Broderick, MIT
2:25 PM
Moment-Matching Variational Inference
—
Matthew Hoffman, Adobe
2:45 PM
Automatic Variational Inference in Stan
—
Alp Kucukelbir ; Dustin Tran ; Rajesh Ranganath, Princeton ; Andrew Gelman, Columbia University ; David Blei, Columbia University
3:05 PM
Streaming Variational Inference for Normalized Random Measure Mixture Models
—
Nicholas Foti, University of Washington
3:25 PM
Floor Discussion
413 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W178a
Bayesian Approaches to Modeling Complex Phenomena in Health Applications — Topic Contributed Papers
Health Policy Statistics Section , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Organizer(s): Mark Glickman, Harvard
Chair(s): Yang Chen, Harvard
2:05 PM
Measuring the Effects of Time-Varying Medication Adherence on Health Outcomes Through Latent States
—
Mark Glickman, Harvard
2:25 PM
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
2:45 PM
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
3:05 PM
Estimating Number of Founder Lineages and Infection Duration of Multivariant HIV-1 Transmissions
—
Tanzy Love, University of Rochester ; Sung Yong Park, University of Southern California ; Elena E. Giorgi, Los Alamos National Laboratory ; Wendy Mack, University of Southern California ; Alan S. Perelson, Los Alamos National Laboratory ; Ha Youn Lee, University of Southern California
3:25 PM
A Novel Bayesian Multiple Imputation Framework for Massive Multivariate Data with Mixed Types of Marginals
—
Hakan Demirtas, University of Illinois at Chicago
3:45 PM
Floor Discussion
423 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W187b
Bayesian Methods for Complex Spatial Data — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Risk Analysis
Organizer(s): Candace Berrett, Brigham Young University
Chair(s): Candace Berrett, Brigham Young University
2:05 PM
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
2:25 PM
Bayesian Uncertainty Quantification for CO2 Retrieval
—
Jenny Brynjarsdottir, Case Western Reserve University ; Jonathan Hobbs, Jet Propulsion Laboratory ; Amy Braverman, Jet Propulsion Laboratory
2:45 PM
Spatial-Temporal Pareto Modeling of Extreme Value Data
—
Gabriel Huerta, University of New Mexico ; Luis Enrique Nieto Barajas, Instituto Tecnologico Autonomo de Mexico
3:05 PM
Point Pattern Analysis of Geological Surface Features on Io
—
E. Neeley Tass, Brigham Young University ; Jani Radebaugh, Brigham Young University
3:45 PM
Floor Discussion
427 !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W179b
Markov Chain Monte Carlo Approaches in Statistical Computing — Contributed Papers
Section on Statistical Computing , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Michael Jadoo, Bureau of Labor Statistics
2:05 PM
MCMC Diagnostics Based on Kullback Leibler Divergence and Smoothing Methods
—
Anand Dixit, Iowa State University ; Vivekananda Roy, Iowa State University
2:20 PM
An Adaptive Exchange Algorithm for Sampling from Distribution with Doubly Intractable Normalizing Constants
—
Ick Hoon Jin, University of Notre Dame ; Faming Liang, University of Florida ; Qifan Song, Purdue University ; Jun S. Liu, Harvard
2:35 PM
Efficient Formation of Auxiliary Markov Chains for Computing the Distribution of the Number of Structured Motifs
—
Donald Martin, North Carolina State University
2:50 PM
A Repulsive-Attractive Metropolis Algorithm for Multimodality
—
Hyungsuk Tak, Harvard ; Xiao-Li Meng, Harvard ; David A. van Dyk, Imperial College London
3:05 PM
The Self-Multiset Sampler
—
Weihong Huang ; Yuguo Chen, University of Illinois at Urbana-Champaign ; Juan Shen, Fudan University
3:20 PM
Automatic Estimation of Sobol' Indices Based on Quasi-Monte Carlo Methods
—
Lluís Antoni Jiménez Rugama, Illinois Institute of Technology ; Laurent Gilquin, Université de Grenoble Alpes ; Clémentine Prieur, Université de Grenoble Alpes ; Elise Arnaud, Université de Grenoble Alpes ; Hervé Monod, Institut National de la Recherche Agronomique ; Fred Hickernell, Illinois Institute of Technology
3:35 PM
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
439
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W186b
Bayesian Modeling in Social Sciences — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Yahya Daoud, Baylor Scott & White Health
2:05 PM
Empirical Reference Distributions for Networks of Different Size
—
Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University ; Christopher Browning, The Ohio State University
2:20 PM
Sparse Motifs: Discovering Structure in Massive Graphs
—
Zehang Li, University of Washington ; Tyler McCormick, University of Washington ; Joshua Blumenstock, University of Washington
2:35 PM
A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer-Based Testing
—
Zhuoran Shang
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
3:05 PM
Bayesian Predictive Inference for Consumption Data from Small Areas
—
Binod Manandhar, Worcester Polytechnic Institute
3:20 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
3:35 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
441
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-Hall F1 West
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Genevera Allen, Rice University
1:
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
2:
Modeling HIV Seroconversion Using a Joint Model with Spatiotemporal Latent Variables
—
Martiniano Jose Emanuel Flores, University of California at Los Angeles ; Robert Erin Weiss, University of California at Los Angeles ; Matthew Beymer, Los Angeles LGBT Center
3:
Bayesian Causal Inference Analyses with Unmeasured Confounders
—
Negar Jaberansari, University of Cincinnati ; Bin Huang, Cincinnati Children's Hospital Medical Center
5:
A Bayesian Spatial Clustering Method
—
Yin Xi, The University of Southwestern Medical Center at Dallas
6:
Combining Multivariate Stochastic Process Models with Filter Methods for Constrained Optimization
—
Tony Pourmohamad, University of California at Santa Cruz ; Herbie Lee, University of California at Santa Cruz
7:
An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
—
Madeline Drevets, Baylor University
8:
Computationally Tractable Approximate and Smoothed Polya Trees
—
William Cipolli, Colgate University ; Timothy Hanson, University of South Carolina
9:
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
10:
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
11:
Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
—
Tyler Nelson, Baylor University
480 !
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W185d
Robust Bayesian Model Inference and Model Evaluation with Potential Misspecification — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Xinyi Xu, The Ohio State University
Chair(s): Andrew Bean, The Ohio State University
8:35 AM
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
8:55 AM
Robust Bayesian Inference via Coarsening
—
Jeffrey Miller, Duke University ; David Dunson, Duke University
9:15 AM
Bayesian Restricted Likelihood Methods
—
Steven N. MacEachern, The Ohio State University ; John Lewis, The Ohio State University ; Yoonkyung Lee, The Ohio State University
9:35 AM
On the Inherently Bayesian Evaluation of Forecast Quantities
—
Catherine Forbes, Monash University
9:55 AM
Discussant: Feng Liang, University of Illinois at Urbana-Champaign
10:15 AM
Floor Discussion
506
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W186a
Bayesian Modeling with Gaussian and Dirichlet Processes — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Tony Pourmohamad, University of California at Santa Cruz
8:35 AM
Bayesian Approach for Interim Analysis with Failure Time Endpoint
—
Zailong Wang, Novartis Pharma ; Chen Gao, University of Minnesota ; Peter Mesenbrink, Novartis Pharma
8:50 AM
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
9:05 AM
Bayesian Computation in Dirichlet Process Mixture Models
—
Erina Paul ; Sanjib Basu, Northern Illinois University
9:20 AM
A New Class of Nonseparable Bayesian Hierarchical Spatial Modeling for Sparse Gaussian Processes
—
Bledar Konomi, University of Cincinnati
9:35 AM
Bayesian Network-Response Regression
—
Lu Wang, Duke University ; Daniele Durante, University of Padua ; David Dunson, Duke University
9:50 AM
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
10:05 AM
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
516 *
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W178a
Paper Highlights from Bayesian Analysis — Invited Papers
Section on Bayesian Statistical Science , IMS , International Society for Bayesian Analysis (ISBA)
Organizer(s): Marina Vannucci, Rice University
Chair(s): Bruno Sanso, University of California at Santa Cruz
10:35 AM
Overall Objective Priors
—
James Berger, Duke University ; Dongchu Sun, University of Missouri ; Jose Miguel Bernardo, University of Valencia
11:00 AM
Bayesian Model Selection Based on Proper Scoring Rules
—
Philip Dawid, University of Cambridge ; Monica Musio, University of Cagliari
11:25 AM
Optimal Design in Geostatistics Under Preferential Sampling
—
Gustavo da Silva Ferreira, National School of Statistical Sciences ; Dani Gamerman, Federal University of Rio de Janeiro
11:50 AM
Computational Enhancements to Bayesian Design of Experiments Using Gaussian Processes
—
Brian Phillip Weaver, Los Alamos National Laboratory
12:15 PM
Floor Discussion
552
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W177
Bayesian Computation — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Keshav Pokhrel, University of Michigan
10:35 AM
An Auxiliary-Variable Gibbs Sampler for Diffusions
—
Vinayak Rao, Purdue University ; Yee Whye Teh, University of Oxford
10:50 AM
Efficient Bayesian Posterior Sampling for Massive Data Sets
—
Reihaneh Entezari ; Radu V. Craiu, University of Toronto ; Jeffrey S. Rosenthal, University of Toronto
11:05 AM
Sequential Monte Carlo Smoothing with Parameter Estimation
—
Biao Yang, The George Washington University ; Jonathan Stroud, Georgetown University ; Gabriel Huerta, University of New Mexico
11:20 AM
PIE: Simple, Scalable, and Accurate Posterior Interval Estimation
—
Cheng Li, Duke University ; Sanvesh Srivastava, University of Iowa ; David Dunson, Duke University
11:35 AM
A Bayesian Approach to Modeling Atomic Structural Disorder
—
Karl Pazdernik ; Brian J. Reich, North Carolina State University ; Katharine Page, Oak Ridge National Laboratory
11:50 AM
Sufficient Burn-In for the Random-Walk Metropolis Algorithm
—
David Spade, University of Missouri - Kansas City
12:05 PM
Scalable Bayesian Variable Selection for Structured Data
—
Suprateek Kundu, Emory University ; Changgee Chang, Emory University ; Qi Long, Emory University
585 * !
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W175c
Recent Advances in Bayesian Modeling of Dependent Biomedical Data — Invited Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Organizer(s): Ori Rosen, The University of Texas at El Paso
Chair(s): Rong Zablocki, University of California at San Diego
2:05 PM
A Flexible Spectral Approach to Nonparametric Estimation of Spatial Data
—
Sally Wood, University of Sydney ; Aldo Saavedra, University of Sydney ; Hugh Durrant-Whyte, University of Sydney ; Ori Rosen, The University of Texas at El Paso
2:30 PM
Adaptive Spectral Analysis of Replicated Nonstationary Time Series
—
Robert Krafty, University of Pittsburgh ; Martica Hall, University of Pittsburgh ; Scott Bruce, Temple University
2:55 PM
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
3:20 PM
Discussant: Ori Rosen, The University of Texas at El Paso
3:40 PM
Floor Discussion
589 *
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W194b
Recent Developments in Bayesian Modeling to Analyze Large-Scale Spatial and Spatio-Temporal Data Sets — Invited Papers
Section on Statistics and the Environment , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): RAJARSHI GUHANIYOGI, University of California at Santa Cruz
Chair(s): Dipankar Bandyopadhyay, Virginia Commonwealth University
2:05 PM
Computational Considerations for Applying Nearest Neighbor Gaussian Processes to Large Spatial Data Sets: A Case Study from Forest Biomass Prediction Across Alaska
—
Sudipto Banerjee, University of California at Los Angeles ; Abhirup Datta, University of Minnesota ; Bruce Cook, NASA ; Andrew Finley, Michigan State University
2:30 PM
Some Scalable Spatial Modeling Framework for Large Spatial Data
—
RAJARSHI GUHANIYOGI, University of California at Santa Cruz ; Sudipto Banerjee, University of California at Los Angeles
2:55 PM
Parallel Computing for Spatio-Temporal Bayesian Models
—
Francisco Beltran, Lawrence Livermore National Laboratory ; Bruno Sanso, University of California at Santa Cruz
3:20 PM
Discussant: Christopher Wikle, University of Missouri
3:40 PM
Floor Discussion
591
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W196b
JASA-ACS Invited Session — Invited Papers
JASA, Applications and Case Studies , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
Chair(s): Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
2:05 PM
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
2:55 PM
A Regularization Scheme on Word Occurrence Rates That Improves Estimation and Interpretation of Topical Content
—
Edoardo M. Airoldi, Harvard
2:40 PM
Discussant: Eric Laber, North Carolina State University
3:30 PM
Discussant: Eric D. Kolaczyk, Boston University
3:45 PM
Floor Discussion
598 * !
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W175b
Innovative Bayesian Methods in Biostatistics — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Samiran Sinha, Texas A&M University
Chair(s): Michael Longnecker, Texas A&M University
2:05 PM
Flexible Link Functions in Nonparametric Binary Regression with Gaussian Process Priors
—
Xia Wang, University of Cincinnati ; Dan Li, University of Cincinnati ; Lizhen Lin, The University of Texas ; Dipak Dey, University of Connecticut
2:25 PM
A Multi-Scale Spatial Model for Stroke Lesion Segmentation
—
Huiyan Sang, Texas A&M University ; Ciprian Crainiceanu, The Johns Hopkins University ; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; John Muschelli, The Johns Hopkins University
3:05 PM
Quantile Graphical Models: An Approximate Bayesian Approach
—
Nilabja Guha, Texas A&M University ; Bani K. Mallick, Texas A&M University
3:25 PM
Floor Discussion
599 *
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W184a
Bayesian Nonparametric and Semiparametric Methods for Causal Inference — Topic Contributed Papers
Biometrics Section , Biopharmaceutical Section , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): Kirsten J. Lum, University of Pennsylvania
Chair(s): Jason Roy, University of Pennsylvania
2:05 PM
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
2:25 PM
A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
—
George Karabatsos, University of Illinois at Chicago
2:45 PM
A Bayesian Nonparametric Causal Inference Model for Comparative Effectiveness Research
—
Chenguang Wang, The Johns Hopkins University
3:05 PM
Bayesian Semiparametric Latent Mediation Model
—
Chanmin Kim, Harvard ; Michael Daniels, The University of Texas at Austin ; Yisheng Li, MD Anderson Cancer Center
3:25 PM
Floor Discussion
619
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W176b
Sparsity in Record Linkage, Networks, and Privacy: Applications to Official Statistics, Author Disambiguation Data, and the Syrian Conflict — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Rebecca Steorts, Duke University
2:05 PM
Latent Space Approaches to Dynamic Multilayer Networks
—
Nabanita Mukherjee, Duke University ; Rebecca Steorts, Duke University ; Daniele Durante, University of Padua
2:20 PM
No NEWS Is Good News: Dynamic Varying Models for Detecting Patient Deterioration
—
Reuben McCreanor, Duke University
2:50 PM
The Microclustering Property: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
—
Abbas Zaidi, Duke University ; Angie Shen, Duke University
3:05 PM
Privately Preserving Algorithms to Release Sparse High-Dimensional Histograms
—
Bai Li ; Rebecca Steorts, Duke University
3:20 PM
Floor Discussion
627 *
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W194b
Spatial Uncertainty in Environmental Statistics — Invited Papers
Section on Statistics and the Environment , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Organizer(s): Matthew J. Heaton, Brigham Young University
Chair(s): Matthew J. Heaton, Brigham Young University
8:35 AM
Spatial Uncertainty in Environmental Statistics
—
Alan E. Gelfand
9:00 AM
Modeling Environmental Impacts on Bronchiolitis in the Presence of Spatial Uncertainty
—
Candace Berrett, Brigham Young University ; Matthew J. Heaton, Brigham Young University ; Chantel Sloan, Brigham Young University
9:25 AM
Multivariate Latent Structure in Bayesian Spatio-Temporal Health Models
—
Andrew B. Lawson, Medical University of South Carolina
9:50 AM
The New Normal: Exploring the Impact of American Community Survey Demographics on Small-Area Health Studies
—
Lance Waller, Emory University
10:15 AM
Floor Discussion
663 *
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W176a
Bayesian Modeling with Economic Data — Contributed Papers
Business and Economic Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Julie Novak, IBM
8:35 AM
A Bayesian Approach to Multivariate Signal Extraction
—
Christopher Hassett, University of Missouri ; Scott H. Holan, University of Missouri ; Tucker McElroy, U.S. Census Bureau
8:50 AM
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
9:05 AM
Region-Wise Variable Selection with Bayesian Group Lasso
—
Sayan Chakraborty, Michigan State University ; Tapabrata Maiti, Michigan State University
9:20 AM
Bayesian Estimate of PIN Model
—
Yu HUAN, Peking University ; Junni ZHANG, Peking University ; Mingjin WANG, Peking University
9:50 AM
A New Stochastic Regime-Switching Model with Time-Varying Regression Coefficients and Error Variances
—
Xiaojin Dong, SUNY Stony Brook
10:05 AM
Floor Discussion
665
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W193b
Bayesian Methodology — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): David Puelz, The University of Texas
8:35 AM
Generalized Orthant Normal and L1-Regularized G Priors
—
Christopher Hans, The Ohio State University
8:50 AM
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
9:05 AM
AFT Modeling of Misclassified Clustered Interval-Censored Data
—
Alejandro Jara, Pontificia Universidad Católica de Chile ; María José García-Zattera, Pontificia Universidad Católica de Chile ; Arnost Komarek, Charles University in Prague
9:20 AM
On Some Aspects of Bayesian Multiple Testing and Decision Making
—
Emrah Gecili ; Siva Sivaganesan, University of Cincinnati
9:35 AM
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
9:50 AM
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
10:05 AM
Scalable Bayesian Variable Selection and Model Averaging Under Block Orthogonal Design
—
Omiros Papaspiliopoulos ; David Rossell, University of Warwick
673
Thu, 8/4/2016,
10:30 AM -
12:20 PM
CC-W192b
Accelerating Bayesian Computation by Intersecting Monte Carlo and Optimization — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society
Organizer(s): Luke Bornn, Simon Fraser University, Mathieu Gerber, Harvard
Chair(s): Iavor Bojinov, Harvard
10:35 AM
Diversifying Sparsity Using Variational Determinantal Point Processes
—
Kayhan Batmanghelich, MIT
11:05 AM
Coupling of Particle Filters with Applications to Score and Smoothing Estimators
—
Pierre E. Jacob, Harvard ; Fredrik Lindsten, Uppsala University ; Thomas Schön, Uppsala University
11:35 AM
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
—
Yutian Chen, Google DeepMind ; Zoubin Ghahramani, University of Cambridge
12:05 PM
Floor Discussion
707
Thu, 8/4/2016,
10:30 AM -
12:20 PM
CC-W191
Innovations in Bayesian Statistics — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Hongmei Zhang, University of Memphis
10:35 AM
Bayesian Signal-Response Data Nondestructive Inspection Test Planning
—
Yew-Meng Koh, Hope College ; William Q. Meeker, Iowa State University
10:50 AM
Bayesian Mixture Response Analysis for Pre-Clinical in Vivo Anti-Cancer Drug Efficacy Investigations
—
David Gold, Bristol-Myers Squibb ; Ningning Chen, Apple
11:05 AM
Spectral Inverted-Wishart: A Flexible Cross-Covariance Function for Multivariate Spatio-Temporal Data
—
Leo Duan, Duke University ; Rhonda Szczesniak, Cincinnati Children's Hospital ; Xia Wang, University of Cincinnati
11:20 AM
Bayesian Analysis of Testing General Hypotheses in Linear Models with Spherically Symmetric Errors
—
Min Wang, Michigan Technological University
11:35 AM
Bayesian Estimators of the Odd Weibull Distribution with Censored Data
—
Chin-I Cheng ; Kahadawala Cooray , Central Michigan University
11:50 AM
Reversible-Jump MCMC for Likelihood-Based Finite Mixture Models for Ordinal Data
—
Daniel Fernandez Martinez, New York University
12:05 PM
Sparse Mean-Variance Portfolios: A Penalized Utility Approach
—
David Puelz, The University of Texas ; Carlos Carvalho, The University of Texas ; P. Richard Hahn, The University of Chicago Booth School of Business