JSM 2017 Online Program

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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Bayesian returned 466 record(s)

Sunday, 07/30/2017

Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees
Suzanne Thornton, Rutgers University; Minge Xie, Rutgers University

Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
John Tipton, Colorado State University; Mevin Hooten, Colorado State University

Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations
Gwendolyn Eadie, McMaster University; Benjamin Keller, McMaster University; William Harris, McMaster University; Aaron Springford, Queen's University

The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution
Ruobin Gong, Harvard University; Xiao-Li Meng, Harvard University

Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
David Van Dyk, Imperial College London; Sara Algeri, Imperial College London; Jan Conrad, University of Stockholm

Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
David Craig Stenning, SAMSI/Duke University; Working Group 1 ASTRO Program, SAMSI

Bayesian Causal Forests
Richard Hahn, University of Chicago; Jared S Murray, Carnegie Mellon University; Carlos Carvalho, University of Texas at Austin
2:05 PM

Subgroup Inference for Multiple Treatments and Multiple Endpoints
Brad Carlin, University of Minnesota; Patrick Schnell, University of Minnesota; Peter Mueller, UT Austin; Qi Tang, AbbVie, Inc.
2:05 PM

BFF Inferences with Rs: Replications, Relevance and Robustness
Xiao-Li Meng, Harvard University; Keli Liu, Stanford University
2:05 PM

Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data
Li Zou, State University of New York At Buffalo; Albert Vexler, State University of New York at Buffalo; Alan Hutson, Roswell Park Cancer Institute
2:05 PM

Statistical Innovations on Safety Analyzes
Shuai Yuan, Merck; William W Wang, Merck & Co Inc
2:05 PM

Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
2:05 PM

Nonparametric Bayesian Survival Models in a Demand Forecasting Application
Ta-Hsin Li, IBM Watson Research Center
2:05 PM

Towards Accounting for Model Error in CO2 Retrievals from the OCO-2 Satellite
Jenny Brynjarsdottir, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory
2:05 PM

Sequential Test Planning for Polymer Composites
I-Chen Lee; Yili Hong, Virginia Tech; Sheng-T Tseng, National Tsing-Hua University; Tirthankar Dasgupta, Rutgers University
2:05 PM

Locally-Adaptive Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics
James Faulkner, University of Washington; Vladimir Minin, University of Washington
2:05 PM

Semiparametric Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie, Inc.; Peter Mueller, UT Austin; Brad Carlin, University of Minnesota
2:20 PM

Statistical Monitoring of Safety via a Bayesian Predictive Approach
LiAn Lin; Greg Ball, Merck; William W Wang, Merck & Co Inc
2:20 PM

Bayesian Inference of Accelerated Life Tests for Lognormal Life Distribution and Inverse Power Relationship
Ananda Jayawardhana, Pittsburg State University
2:20 PM

A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organization
Julie Novak, IBM; Beatriz Etchegaray, IBM Research
2:20 PM

The Use of Artificial Neural Network in Time Series Forecasting
Taysseer Sharaf, University of Michigan- Dearborn
2:20 PM

Bayesian and Variational Bayesian Approaches for Flows in Heterogenous Random Media
Nilabja Guha, Texas A & M University; Keren Yang, Fudan University; Bani K. Mallick, Texas A&M University; Yalchin Efendiev, Texas A&M University
2:20 PM

Balanced Covariates with Response Adaptive Randomization
Benjamin Saville, Berry Consultants
2:25 PM

Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM

Predictive Modeling with Composite of Popular Distributions
Min Deng, Towson University; Mostafa S Aminzadeh, Towson University
2:35 PM

Bayesian Methods for Analysis of Biosimilar Phase III Trials
Robert Weiss, UCLA Fielding School of Public Health; Xiaomao Simon Xia, University of Missouri; Nan Zhang, Amgen Inc; Hui Wang, Amgen Inc; Eric Chi, Amgen, Inc.
2:35 PM

Estimating Parameters in Complex Systems with Functional Outputs - a Wavelet-Based Approximate Bayesian Computation Approach
Ruijin Lu, Virginia Polytechnic Institute and State University; Hongxiao Zhu, Assistant Professor, Virginia Tech; Chen Ming, Department of Mechanical Engineering, Virginia Tech; Anupam K. Gupta, Department of Mechanical Engineering, Virginia Tech; Rolf Muller, Department of Mechanical Engineering, Virginia Tech
2:35 PM

Bayesian Interval Based Dose Finding Designs and a Web-Based Statistical Tool
Yuan Ji, NorthShore University HealthSystem/University of Chicago; Sue-Jane Wang, FDA; Shengjie Yang, NorthShore University HealthSystem
2:45 PM

Adaptive MCMC in Bayesian Phylogenetics and Phylodynamics
Guy Baele, KU Leuven; Philippe Lemey, KU Leuven; Andrew Rambaut, University of Edinburgh; Marc A. Suchard, University of California, Los Angeles
2:45 PM

Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM

Bayesian Functional Single Index-Interaction Model for Cognition Prediction
Kumaresh Dhara, Florida State University; Debdeep Pati, Florida State University; Debajyoti Sinha, Florida State University
2:50 PM

Comparing ITT Estimates with Adherence Adjusted Estimates Based on the Rubin Causal Model
Sreelatha Meleth, RTI International; Barry Eggleston, RTI International
2:50 PM

Multi-Level Bayesian Models for Psychiatric and Brain Imaging Data
Wesley Kurt Thompson, UCSD
2:55 PM

Resolving the Reproducibility Crisis Using Bayesian Inference
Andrew Gelman, Columbia Unversity; Blake McShane, Northwestern University
2:55 PM

Bayesian Nonparametric Variable Selection for Optimal Treatment Decisions
Rui Li, North Carolina State University; Brian Reich, NCSU; Howard Bondell, NC State University
3:05 PM

Bayesian Regression for Undirected Graphs
Wing Yan Yuen, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM

Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation
Mingwei Tang, Department of Statistics, University of Washington; Vladimir Minin, University of Washington
3:05 PM

Borrowing Historical Information for Clinical Development - a Case Study
Guochen Song, Biogen; Peng Sun, Biogen; John Zhong, Biogen; Jie Li, Biogen; Baoguang Han, Biogen; Stacy Lindborg, Biogen
3:05 PM

Multivariate Spatial Point Patterns via Correlated Bernoulli Indicators
Matthew Heaton, Brigham Young University; Matthew Bekker, Brigham Young University
3:20 PM

Beyond P-Values: Hypothesis Testing Based on the BIC Model Selection Criterion
Stanley Sclove, Univ of Illinois At Chicago; Robert F Bordley, Booz Allen Hamilton
3:20 PM

A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 PM

Expanding the Role of N-Of-1 Trials in Regulated Clinical Trials
Samuel Dickson, USAMMDA Biostatistics Branch; Sharon A Gilbert, USAMMDA Biostatistics Branch; Cynthia V. Landefeld, USAMMDA Biostatistics Branch; Nan Guo, USAMMDA Biostatistics Branch; William F. McCarthy, USAMMDA Biostatistics Branch
3:20 PM

Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM

An Empirical Bayesian Approach of Reliability Analysis Based on Wiener Degradation Processes
Tsai-Hung Fan
3:35 PM

More Information Is Better! Where Do We Get it and How Do We Use It?
Stephanie Michelle Coffey, U.S. Census Bureau; JPSM University of Maryland
4:05 PM

Statistical Consulting: How Many Specimens Per Patient Should We Have for Improved Accuracy of Prosthetic Joint Infection?
Jayawant Mandrekar, Mayo Clinic
4:05 PM

Estimation of Hepatocellular Cancer Cytokine Networks While Accounting for Biological Heterogeneity Using Bayesian Edge Regression for Undirected Graphs
Zeya Wang, Rice University; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center; Wenyi Wang, University of Texas MD Anderson Cancer Center; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
4:20 PM

Bayesian Estimation of Multiple Gaussian Graphical Models with Unknown Class
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
4:20 PM

A Bayesian Approach for Correcting Exposure Misclassification in Meta-Analysis
Qinshu Lian, University of Minnesota-Twin cities; Haitao Chu, University of Minnesota
4:20 PM

Stochastic Tail Index Model for High Frequency Financial Data with Bayesian Analysis
Zhengjun Zhang, University of Wisconsin; Guangyu Mao, Beijing Jiaotong University
4:25 PM

An assessment of the utility of a Bayesian framework to improve response propensity modelling
Eliud Kibuchi, University of Southampton; Gabriele Durrant, University of Southampton; Patrick Sturgis, University of Southampton; Olga Maslovskaya, University of Southampton
4:35 PM

Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM

Bayesian Analysis of Infant's Growth Dynamics with In Utero Exposure to Environmental Toxicants
Jonggyu Baek, University of Michigan, Biostatistics; Bin Zhu, NIH/NCI-DCEG-Biostatistics Branch; Peter XK Song, University of Michigan,
4:35 PM

A Non-Parametric Bayesian Approach for Indictor Kriging and Its Application in Disease Etiology
Nong Shang, CDC
4:35 PM

Optimization of Adaptive Survey Design from a Bayesian Perspective. Two Case Studies
Barry Schouten, Statistics Netherlands; Joep Burger, Statistics Netherlands; Nino Mushkudiani, Statistics Netheriands
4:50 PM

Moralization and Interventions for DAG Model Learning
Gunwoong Park, University of Michigan
4:50 PM

A Parametric Bayesian Approach to Estimating Causal Treatment Effect on Medical Costs
Arman Oganisian, University of Pennsylvania; Andrew Spieker, University of Pennsylvania; Jason A Roy, University of Pennsylvania; Nandita Mitra, University of Pennslyvania
4:50 PM

A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels
Georgia Papadogeorgou; Francesca Dominici, Harvard University
4:50 PM

Using Bayesian Methods to Rank Cases Based on Response Propensity During Data Collection
James Wagner, University of Michigan
5:05 PM

Nonparametric Functional Calibration of Computer Models
Andrew Brown, Clemson University; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:05 PM

Test of Adaptive Survey Design from a Bayesian Perspective in a Longitudinal Survey
Peter Lundquist, Statistics Sweden; Anton Johansson, Statistics Sweden; Gabriele Durrant, University of Southampton
5:20 PM

Adaptive Bayesian Power Spectrum Analysis of Multivariate Nonstationary Time Series
Zeda Li, Temple University; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
5:20 PM

Bayesian Regression Using an Approximated Solution to the Penalized Least Squares Minimization Problem
Eduardo Trujillo Rivera
5:25 PM

Bayesian Emulators for Composition Distribution of Kepler's Sub-Neptune Planets
Anirban Mondal, Case Western Reserve University; Angie Wolfgang, The Pennsylvania State University
5:35 PM

Monday, 07/31/2017

The Evolution of Fraud Detection Models
Brian Hochrein, IBM Watson Health

Survival Prediction in Early-Stage Lung Cancer via Bayesian Model Averaging of Nonparametric Accelerated Failure Time Models
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University ; Dai Feng, Merck

Efficient Algorithm for Multiple Imputation of Missing Health Outcomes
Chris Liu, University of Michigan-School of Nursing

A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations with Ordinal Toxicity Grades
Sungjin Kim, Cedars-Sinai Medical Center; Marcio Diniz, Cedars Sinai Medical Center; Mourad Tighiouart, Cedars-Sinai Medical Center

Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data
Xiaolei Lin, University of Chicago; Donald Hedeker, University of Chicago

Applying Bayesian Methodology to Precision Medicine
Judy X. Li, Regeneron Pharmaceuticals

Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich

Semiparametric Bayes' Proportional Odds Models for Arbitrarily Censored Failure Time Data
Lu Wang, University of South Carolina; Lianming Wang, University of South Carolina

Causal Inference Using Bayesian Spatial Downscaling
Alexandra Larsen, North Carolina State University ; Brian Reich, NCSU; Ana Rappold, US EPA

Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center

Application of Multidimensional Time Model for PDF to Experimental and Statistical Investigations into Statistical Randomness and Normality of Pi Sqrt2 Etc
Michael Fundator, National Academy of Sciences

Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois

Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp

A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico

A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning; Neil Shephard, Professor and Chair, Harvard Statistics Department

Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines
Devin Francom, Lawrence Livermore National Laboratory; Bruno Sanso, University of California Santa Cruz; Ana Kupresanin, Lawrence Livermore National Laboratory

A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University

Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare

A Geometric Variational Approach to Bayesian Inference
Abhijoy Saha, Department of Statistics, The Ohio State University; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University

Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university

Bayesian Methods for Discovering Structure in Neural Spike Trains
Scott Linderman

On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University

Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney

Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination
Matt Johnson, Duke University; Mike West, Duke University

Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.

Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky

Methodologies for Clinical Trials Using Historical Control
Yeh-Fong Chen, US Food and Drug Administration

Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University

Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process
Meredith Ray, University of Memphis; Dale Bowman, University of Memphis; Roy Von Arsdale, University of Memphis; Hongmei Zhang, University of Memphis

Identification of Potentially Problematic Prescribing to a Vulnerable Population
Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University

Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending
Frank Yoon, IBM Watson Health; Eli Cutler, IBM Watson Health; Brian Hochrein, IBM Watson Health; Gary Pickens, IBM Watson Health; Hal Skinner, IBM Watson Health; Michael A Head, IBM Watson Health

Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration

dECiDe: software developed by Cytel and AstraZeneca for early clinical study design
Patrick D. Mitchell, Early Clinical Development AstraZeneca; Dominic Magirr, AZ IMED Biotech Unit, ECD Biometrics; Elizabeth Pilling, AZ IMED Biotech Unit, ECD Biometrics; James Matcham, AZ IMED Biotech Unit, ECD Biometrics; Jaydeep Bhattacharyya, Cytel Inc.; Charles Liu, Cytel Inc.

Bayesian Regression Modeling with the Tilted Beta Distribution
Eugene Hahn, Salisbury University
8:35 AM

A Bayesian Two-Part Model with Measurement Error: Assessing Adult Moderate to Vigorous Activity and Compliance to 2008 Physical Activity Guidelines
Daniel Ries, Iowa State University; Alicia Carriquiry, Iowa State University; Kevin Dodd, National Cancer Institute; Wayne A. Fuller, Iowa State University
8:35 AM

Detection of Prostate Cancer with Multi-Parametric MR Imaging Models Utilizing the Anatomic Structure of the Prostate
Jin Jin, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Lin Zhang, University of Minnesota; Greg Metzger, University of Minnesta; Ethan Leng, University of Minnesta
8:35 AM

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM

Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
8:45 AM

Objective Bayesian Modeling of Count Data
Si Cheng, University of Cincinnati; Xia Wang, University of Cincinnati
8:50 AM

Abstract for Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models
Alexander Kaizer; Joseph Koopmeiners, University of Minnesota; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM

A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning; Neil Shephard, Professor and Chair, Harvard Statistics Department
9:00 AM

A Multiple Imputation Method Based on Bayesian Quantile Regression Model for Handling Intermittent Missing Data
MinJae Lee, The University of Texas Health Science Center at Houston; Mohammad Rahbar, University of Texas Health Science Center at Houston; John Reveille, The University of Texas Health Science Center at Houston; Michael Weisman , Cedars-Sinai Medical Center; Michael Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/NIH; Lianne Gensler, University of California, San Francisco; Matthew Brown, Queensland University of Technology
9:05 AM

A Sequential Algorithm for Bayesian Inference of Large-Scale Record Linkage Structure
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, Carnegie Mellon University
9:05 AM

Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates
Britta Velten, EMBL Heidelberg; Wolfgang Huber, EMBL Heidelberg
9:15 AM

Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data
Roberta De Vito, Princeton
9:15 AM

Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare
9:20 AM

Dual-Purpose Bayesian Design for Parameter Estimation and Model Discrimination of Models with Intractable Likelihoods
Mahasen Bandara Dehideniya, Queensland University of Technology; James McGree, Queensland University of Technology; Christopher Drovandi , Queensland University of Technology
9:20 AM

Learning Non-Parametric Binary Regression Using Flixible Power Link Function with GP Priors
Abhishek Bishoyi, University of Connecticut; Xiaojing Wang, University of Connecticut; Dipak K Dey, university of connecticut
9:35 AM

Bayesian Multiscale Spatial Models for Big Data
Raj Guahniyogi, UCSC
9:35 AM

Baysian Approach to Analysis of Contingency Tables
Huijun Yi, Troy University; Ping Ye, University of North Georgia
9:35 AM

Bayesian Methods for Discovering Structure in Neural Spike Trains
Scott Linderman
9:40 AM

On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
9:45 AM

Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination
Matt Johnson, Duke University; Mike West, Duke University
9:50 AM

Adjusting for Mode Effects in Longitudinal Studies Utilizing a Bayesian Prior on Within Subject Correlation
Heather Kitada, Oregon State University; Sarah C Emerson, Oregon State University; Claudio Fuentes, Oregon State University
9:50 AM

Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals
Qian Guan, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
9:55 AM

Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM

Cancer Phylogenies and Nonparametric Clustering
Jeffrey Miller, Harvard School of Public Health; Scott Carter, Dana-Farber Cancer Institute
9:55 AM

Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University
10:10 AM

Posterior Concentration for Bayesian Regression Trees and their Ensembles
Veronika Rockova, University of Chicago; Stephanie van der Pas, Leiden University
10:35 AM

Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM

A Bayesian Approach to SENSE Image Reconstruction in fMRI
Daniel B. Rowe, Marquette University
10:35 AM

How to Introduce Management to Bayesian Reliability
Allan T Mense, Raytheon; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses
10:35 AM

Photometric Classification of Supernova with Biased Training Set
David Van Dyk, Imperial College London; Roberto Trotta, Imperial College London; Esben Revsbech, Imperial College London
10:35 AM

Nonseparable Gaussian Stochastic Process: a Unified View and Computational Strategy
Mengyang Gu, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Barbara Engelhardt, Princeton University
10:35 AM

Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university
10:45 AM

A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
10:50 AM

A Site-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian Di Pace, Virginia Commonwealth Univ; Roy T Sabo, Virginia Commonwealth University
10:50 AM

Bayesian Statistical Methodologies for Evaluating Similarity in Exposure-Response Relationship Between Adults and Pediatrics
Mathangi Gopalakrishnan, Center for Translational Medicine, University of Maryland, Baltimore
10:55 AM

Studying Consumer Choices of Location in Public Environments
Tatiana Dyachenko, Georgetown University; Simon Blanchart, Georgetown University; Keri Kettle, University of Manitoba
10:55 AM

Methodologies for Clinical Trials Using Historical Control
Yeh-Fong Chen, US Food and Drug Administration
10:55 AM

Bayesian and Frequentist Partial Extrapolation Approaches in Organ Transplantation to Support the Pediatric Plan for European Health Authorities
Steffen Ballerstedt, Novartis Pharma AG; Jennifer Ng, Novartis Pharmaceuticals Inc
11:15 AM

An Adaptive Subgroup-Identification Enrichment Design
Yanxun Xu, Johns Hopkins University; Yili L Pritchett, MedImmune; Florica Constantine, Johns Hopkins University
11:15 AM

Bayesian Inference in Stochastic Reaction Networks
Daniel Linder, Medical College of Georgia - Augusta, GA; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:15 AM

Handling Missing Data in Self-Exciting Temporal Point Processes
James Tucker, Sandia National Laboratories; John Lewis, Sandia National Laboratories; Kathy Simonson, Sandia National Laboratories; Johnanthan Lane, Sandia National Laboratories
11:20 AM

An Objective Prior for Hyperparameters in Normal Hierarchical Models
Dongchu Sun, University of Missouri
11:25 AM

Using Bayesian Methods to Incorporate Historical Information on Control Rate and Treatment Effect: An HIV-Paediatric Trial
Clara Dominguez Islas, MRC Biostatistics Unit; Nicky Best, GlaxoSmithKline; Rebecca Turner, MRC Biostatistics Unit; Naomi Givens, GlaxoSmithKline; Rimgaile Urbaityte, GlaxoSmithKline; Sophie Barthel, GlaxoSmithKline; Adrian Mander, MRC Biostatistics Unit
11:35 AM

An Alternative Method for Measuring Willingness-To-Pay Using Truncated Distributions of Heterogeneity
Adam Smith, The Ohio State University; Dong Soo Kim, The Ohio State University; Mingyu Joo, The Ohio State University
11:35 AM

Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM

Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration
11:50 AM

Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
12:00 PM

Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM

A Global Oncology Platform Trial for Personalized Medicine: GBM AGILE
Jason Connor, Berry Consultants
2:05 PM

Bayesian Analysis of Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data
Soutik Ghosal, University of Louisville; Maiying Kong, University of Louisville; Jeremy Gaskins, University of Louisville
2:05 PM

Assessing Research Outcomes, Impact, and Innovativeness Through Senior Scientist Review: An Alternative Approach to Bibliometrics
Kassie Fronczyk, Institute for Defense Analyses; Justin Mary, Institute for Defense Analyses
2:05 PM

Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM

Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo
Leo Duan, Johns Hopkins University; James Johndrow, Stanford University; David Dunson, Duke University
2:20 PM

Bayesian Dynamic Tensor Factor Models
Seyed Yaser Samadi, Southern Illinois University, Carbondale; David Dunson, Duke University
2:20 PM

Individual Level Infectious Disease Models Incorporating Aggregate Level Spatial Structure
Rob Deardon, University of Calgary; MD Mahsin, University of Calgary
2:25 PM

Shedding a Bayesian Light on the Evidence-Based Medicine
J. Jack Lee, UT MD Anderson Cancer Ctr.
2:35 PM

Bayesian Semiparametric Covariance Function Estimation for Stationary Gaussian Processes by Overwhelming Force
John Ensley
2:35 PM

Bayesian Analysis of Explosive Safety Scenarios
David Collins; Eric M. Heatwole, Los Alamos National Laboratory
2:35 PM

Spatio-Temporal Models with Excess Zeros
Mahmoud Torabi, University of Manitoba
2:45 PM

A Bayesian Method for Detecting Pairwise Associations in Compositional Data
Emma Schwager, Harvard School of Public Health; Steffen Ventz, University of Rhode Island; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:45 PM

Re-Analyzing Clinical Trials Through the Bayesian Lens
Margaret Gamalo-Siebers, Eli Lilly; Karen Price, Eli Lilly; Stephen J Ruberg, Eli Lilly and Co
2:50 PM

ASID: A Bayesian Adaptive Subgroup-Identification Enrichment Design
Florica Constantine, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Yili L Pritchett, MedImmune; Zhilin Jin, Johns Hopkins University
2:50 PM

High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM

Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors
Matthew J. Keefe, Virginia Tech; Marco Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
3:20 PM

Tuesday, 08/01/2017

A Probabilistic Characterization of Shark Movement Using Location Tracking Data
Samuel Ackerman

Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective
Xuehan Ren

A Bayesian Approach to Factor Screening in Life Tests
I-Tang Yu

Current Policies and Landscape for Bayesian Methods in Drug Approval
Fanni Natanegara, Eli Lilly and Company

A Bayesian Approach for Instrumental Variable Analysis
Samrachana Adhikari, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School

A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling
Zhou Fang, Department of Biostatistics, University of Pittsburgh; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Li Zhu, University of Pittsburgh; George Tseng, University of Pittsburgh; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh

A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri

Elicitation of Expert Knowledge of Phylogenies in the Form of Rooted Trees
Xiting Yang, Food and Drug Administration; Jay Kadane, Carnegie Mellon University

A Novel Framework for Spatially-Varying Age-Period-Cohort Analysis with Application to U.S. Mortality, 1999-2015
Pavel Chernyavskiy, National Cancer Institute; Mark P Little, National Cancer Institute; Philip S Rosenberg, National Cancer Institute

Meta-Analysis of Conflicting Outcome Measures
Sitaram Vangala, UCLA Health System

Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions
Taha Monfared, csuf office of graduate studies; Valerie Poynor, California State University, Fullerton

Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center

A Bayesian Approach to Analyzing Gene Expression in Heterogeneous Tissue Samples
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City

Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan

GPU-Based Approximate Bayesian Computation Algorithms for Network Reverse-Engineering
Myriam Maumy, Universite de Strasbourg; Frederic Bertrand, University of Strasbourg

Bayesian Hierarchical Reporting Delay Model in Infectious Disease Forecasting
Krzysztof Sakrejda, University of Massachusetts - Amherst; Nicholas G. Reich, University of Massachusetts Amherst; Stephen Lauer, University of Massachusetts - Amherst

Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota

Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center

Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong

Discriminant Analysis (DA) Based Methods in Safety Evaluation
Angang Zhang, Merck; Richard Baumgartner, Merck; William W Wang, Merck & Co Inc

A Bayesian Sequential Design with Adaptive Randomization for Two-Sided Hypothesis Tests
Qingzhao Yu, Louisiana State University Health Sciences Center; Lin Zhu, Louisiana State University Health Sciences Center; Han Zhu, Pharmaceutical Product Development, Inc.

Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
Yinge Sun, University of Virginia; Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University

Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota

A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
Deborah Kunkel, The Ohio State University; Kevin Potter, University of Massachusetts; Trisha Van Zandt, The Ohio State University; Peter F Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University

Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center

Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc

A Spatio-Temporal Joint Model of Opioid Overdose Deaths and Treatment Seeking in Ohio Counties
David Kline, The Ohio State University; Staci A Hepler, Wake Forest University; Erin McKnight, Nationwide Children's Hospital; Andrea Bonny, Nationwide Children's Hospital

Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa

Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University

A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
Cristian Meza, CIMFAV-Universidad de Valparaíso; Meili Baragatti, SupAgro-INRA; Karine Bertin, CIMFAV-Universidad de Valparaíso; Emilie Lebarbier, AgroParisTech

Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University

Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania

A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine

Bayesian Clustering on Stiefel Manifolds
Ritendranath Mitra; Subhajit Sengupta, NorthShore University Health System; Subhadip Pal, University of Louisville

Geographic Patterns of Diabetes Prevalence in the United States, NHIS (2006 - 2012)
Diba Khan, CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics; HeeChoon Shin, CDC

Bayesian Mixture Model for Ovarian Cancer Study Using Glycoproteomics and Mass Spectrometry Data
Yulan Liang, University of Maryland; Arpad Kelemen, University of Maryland

Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data
Timothy D Johnson, University of Michigan
8:35 AM

Coverage of Nonparametric Credible Sets
Subhashis Ghoshal, North Carolina State University
8:35 AM

Characterizing Clinical Dose Response Studies
Neal Thomas, Pfizer; Joseph Wu, Pfizer, Inc.
8:35 AM

Optimising Inflation Forecasts Based on Web-Scraped Price Data
Ben Powell, University of Bristol
8:35 AM

Adjusting for Misclassification in Observational Studies: Getting from Cleaner to Messier Scenarios
Tanja Högg, University of British Columbia; Paul Gustafson, University of British Columbia; Yinshan Zhao, BC Center for Improved Cardiovasular Health ; John Petkau, University of British Columbia; Helen Tremlett, University of British Columbia
8:35 AM

Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
8:50 AM

Bayesian Variance Selection in Analysis of Species Distribution
Jing Zhang, Miami University; Baini Li, Miami University; Thomas Crist, Miami University
8:50 AM

Determining Dose-Response Relationships by Bayesian Averaging of Multiple Models
A. Lawrence Gould, Merck Research Laboratories
8:50 AM

Clinical Dose-Response for a Broad Set of Biological Products: a Model-Based Meta-Analysis
Joseph Wu, Pfizer, Inc.; Anindita Banerjee, Pfizer, Inc.; Bo Jin, Pfizer, Inc.; Sandeep Menon, Pfizer, Inc; Steven W Martin, Pfizer, Inc.; Anne C Heatherington, Pfizer, Inc.
8:55 AM

Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data
Joseph G Ibrahim, UNC; Matthew Psioda, UNC Chapel Hill
9:00 AM

Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM

A Practical Bayesian Adaptive Design with Application to Cardiovascular Outcomes Trials
Matthew Psioda, UNC Chapel Hill; Joseph G Ibrahim, UNC; Mat Soukup, Center for Drug Evaluation and Research, Office of Translational Sciences, FDA
9:05 AM

Big Health Data Using Probabilistic Record Linkage
Bong-Jin Choi, University of North Carolina at Chapel Hill; Ke Meng, University of North Carolina at Chapel Hill; Tzy-Mey Kuo, University of North Carolina at Chapel Hill; Adrian Meyer, University of North Carolina at Chapel Hill; Laura Green, University of North Carolina at Chapel Hill; Christopher Baggett, University of North Carolina at Chapel Hill; Anne-Marie Meyer, University of North Carolina at Chapel Hill; YunKyung Chang, University of North Carolina at Chapel Hill
9:05 AM

A Bayesian Penalized Hidden Markov Model for Animal Interactions
Meridith Bartley, Penn State University; Ephraim M Hanks, The Pennsylvania State University; David Hughes, Penn State Univeristy
9:05 AM

Bayesian models and the parametric G-formula in time-dependent settings: robustness and sensitivity analysis
Arielle K Anglin, Department of Biostatistics, University of Pennsylvania; Jason A Roy, University of Pennsylvania
9:05 AM

Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
9:10 AM

Discriminant Analysis (DA) Based Methods in Safety Evaluation
Angang Zhang, Merck; Richard Baumgartner, Merck; William W Wang, Merck & Co Inc
9:15 AM

Adaptive Ensemble Kalman Filters for Online Bayesian State and Parameter Estimation
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher Wikle, University of Missouri
9:15 AM

Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 AM

Bayesian sparse propensity score estimation for unit nonresponse
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
9:20 AM

Reconciling Demographic Parameters Using an Integrated Population Model for High Sonoran Desert Bald Eagles
Mark C. Otto, U.S. Fish and Wildlife Service
9:20 AM

Adaptive Designs in Phase II Basket Clinical Trials
Kristen Cunanan; Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
9:35 AM

Impact of Instructors and Majors on Student Performance Bayesian Multiple Membership Logistic Regression Model
Maria Elsa Vazquez, Arizona State University
9:35 AM

Defining and Modeling Two Interpretations of Perception in Removal-Distance Models of Point-Count Surveys
Adam Martin-Schwarze, Iowa State University; Jarad Niemi, Iowa State University; Philip M Dixon, Iowa State University
9:35 AM

Bayesian Estimation of Optimal Differencing Operator in Cointegrated Systems
Anindya Roy, University of Maryland at Baltimore County; Tucker McElroy, U. S. Census Bureau
9:35 AM

A Bayesian Approach to Optimal Treatment Allocation
Saptarshi Chatterjee, Northern Illinois University; Sanjib Basu, University of Illinois At Chicago
9:35 AM

Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
9:45 AM

Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM

Informing Oregon Forestry Rule Change Decisions with a Bayesian Hierarchical Model
Jeremiah Groom, Department of Statistics; Lisa Madsen, Department of Statistics
9:50 AM

The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM

Nonlinear Dynamical Spatio-Temporal Models and Their Efficient Estimation
Christopher Wikle, University of Missouri
9:55 AM

A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM

Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
10:35 AM

4. Bayesian Integrative Model for Deciphering High-Dimensional Genotype-Phenotype Map
Chuanhua Julia Xing, XPrecision; Andrew Raim, U.S. Census Bureau
10:35 AM

A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods
Ming-Hui Chen, University of Connecticut; Yu-Bo Wang, National Institutes of Health; Lynn Kuo, University of Connecticut; Paul O. Lewis, University of Connecticut
10:35 AM

A Geostatistical Approach to Modeling Climate Teleconnections
Joshua Hewitt, Colorado State University; Jennifer A Hoeting, Colorado State University; James Done, National Center for Atmospheric Research; Erin Towler, National Center for Atmospheric Research
10:35 AM

A prediction model for understanding statistical replication
Andrew Neath, SIU Edwardsville
10:40 AM

BayesMP: a Bayesian Approach for Transcriptomic Meta-Analysis and Gene Module Detection
Chi Song; Zhiguang Huo, University of Pittsburgh; George Tseng, University of Pittsburgh
10:50 AM

Bayesian Epidemic Compartmental Model for an Infectious Disease with Multiple Transition Paths: Analyzing Visceral Leishmaniasis in Brazil
Marie Ozanne, University of Iowa; Jacob Oleson, University of Iowa; Grant Brown, University of Iowa
10:50 AM

Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes
Rebecca Hubbard, University of Pennsylvania; Grace Choi, University of Pennsylvania; Arman Oganisian, University of Pennsylvania; Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
10:55 AM

A Hierarchical Spatio-Temporal Analog Forecasting Model for Nonlinear Ecological Processes
Patrick McDermott, University of Missouri; Christopher Wikle, University of Missouri; Joshua Millspaugh, University of Montana
10:55 AM

Use of Historical Information via Bayesian Approach in Non-Inferiority Trial: With Application in Mental Health
Samiran Ghosh, Wayne State University - Detroit, MI; Santu Ghosh, Augusta University
10:55 AM

Flexible Bayesian Additive Joint Models
Meike Köhler, Helmholtz Zentrum München; Nikolaus Umlauf, Universität Innsbruck; Sonja Greven, Ludwig-Maximilians-Universität München
11:00 AM

Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM

Detecting Copy Number Variations via a Bayesian Approach Adapting to Both Whole Genome and Targeted Exome Sequencing
Yu-Chung Wei, Department of Statistics, Feng Chia University; Guan-Hua Huang, Institute of Statistics, National Chiao Tung University
11:05 AM

Different Paradigms of Interpretation for Forensic Value of Evidence Quantification
Danica Ommen, South Dakota State University; Christopher Saunders, South Dakota State University; Reinoud Stoel, Netherlands Forensic Institute; Peter Vergeer, Netherlands Forensic Institute
11:05 AM

Is Tennis' Time Violation Policy Unfair? Understanding the Time-To-Serve of Professional Tennis Players Using a Hierarchical Bayesian Model
Stephanie Kovalchik, Tennis Australia; James Albert, Bowling Green State University
11:15 AM

Propensity-Score-Based Priors for Bayesian Augmented Control Design
Junjing Lin, AbbVie ; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, FDA/CDER/OT/OB
11:15 AM

Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach
Inyoung Kim, Virginia Tech; Feng Guo, Virginia Tech
11:15 AM

Model Misspecification in ABC: Consequences and Diagnostics
David Frazier
11:15 AM

A Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments
Neal Grantham, North Carolina State University; Brian Reich, NCSU; Kevin Gross, North Carolina State University
11:15 AM

On Bayesian Safety Monitoring
Hal Li, Merck Research Laboratories; William Wang, Merck
11:20 AM

High-Dimensional Bayesian Computation for Censored Quantile Regression
Naveen N Narisetty, University of Illinois at Urbana-Champaign; Xuming He, University of Michigan
11:25 AM

Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:35 AM

Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates
Nels Johnson; Inyoung Kim, Virginia Tech
11:35 AM

Bayesian Clustering and Dimension Reduction in Multivariate Air Pollution Extremes
Sabrina Vettori, King Abdullah University of Science and Technilogy; Raphael Huser, KAUST; Marc G. Genton, KAUST
11:35 AM

Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Genetic Association Landscape by Functional Linear Models.
Olga Vsevolozhskaya; Ilai Keren, Washington Department of Fish and Wildlife; David Fardo, University of Kentucky; Dmitri Zaykin, NIH/NIEHS
11:35 AM

Bayesian Model Assessment and Selection Using Bregman Divergence
Dipak K Dey, university of connecticut; Gyuhyeong Goh, Kansas State University
11:35 AM

Evaluating Change in Learning from Different Forms of Interactive Visualizations with a Large Case Study.
Lata Kodali; Peter Hauck , Virginia Tech, Discovery Analytics Center; Michelle Dowling, Virginia Tech, Department of Computer Science; Leanna House, Virginia Tech, Department of Statistics; Scotland Leman, Virginia Tech; Chris North, Virginia Tech, Department of Computer Science
11:35 AM

Bayesian Clustering on Stiefel Manifolds
Ritendranath Mitra; Subhajit Sengupta, NorthShore University Health System; Subhadip Pal, University of Louisville
11:45 AM

A Variational Bayesian Algorithm for Sparse PCA
Feng Liang, University of Illinois at Urbana Champaign; Yunbo Ouyang, University of Illinois at Urbana Champaign; Jianjun Hu, Union Bank
11:50 AM

Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
11:50 AM

Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments
Allison Tegge, Virginia Tech; Shiqi Cui, Google; Marco Ferreira, Virginia Tech
11:50 AM

Bayesian Approaches for Modeling Functional Connectivity in Neuroimaging
Sanjib Basu, University of Illinois At Chicago; Nairita Ghosal, University of Illinois at Chicago
11:55 AM

Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization
Miranda Lynch, Los Alamos National Laboratory
12:05 PM

Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota
12:15 PM

Probabilistic Numerical Computation: A Role for Statisticians in Numerical Analysis?
Mark Girolami, Imperial College London
2:05 PM

Bayesian Low-Rank Graph Regression Models for Mapping Human Connectome Data
Eunjee Lee, University of Michigan; Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Joseph G Ibrahim, UNC; Yong Fan, University of Pennsylvania
2:05 PM

Dirichlet Process Mixture of Elliptical Copulas
Jiali Wang, The Australian National University; Anton Westveld, The Australian National University; Bronwyn Loong, The Australian National University
2:05 PM

Reconstruction of Spatio-Temporal Temperature from Sparse Historical Records Using Robust Probabilistic Principal Component Regression
John Tipton, Colorado State University; Mevin Hooten, Colorado State University; Simon Goring, Department of Geography, University of Wisconsin
2:05 PM

Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 PM

What Do the Experts Believe? Translating Expert Knowledge and Judgment into a Quantitative Belief Distribution
Timothy H Montague, GlaxoSmithKline
2:05 PM

A Regularized Bayesian Approach to Direct and Indirect Effects When Both Exposure and Mediator Are High-Dimensional
Yu-Bo Wang, National Institutes of Health; Zhen Chen, NICHD; Germaine M. Louis, NICHD
2:05 PM

Incorporation of Stochastic Engineering Models as Prior Information in Bayesian Medical Device Trials
Valentin Parvu, BDX Corporate/Shared services, BD
2:20 PM

Longitudinal Joint Clustering via Dirichlet Process Mixture Model
Hongmei Zhang, University of Memphis; Shengtong Han, University of Chicago; Hasan Arshad, University of Southampton
2:20 PM

Designing for What's Important: a Comparison of Bayesian and General Weighted Optimality Criteria
Jonathan W. Stallings, North Carolina State University
2:20 PM

A Multivariate Dynamic Spatial Factor Model for Speciated Pollutants and Adverse Birth Outcomes
Kimberly Kaufeld, Los Alamos National Laboratory
2:20 PM

Expert Prior Elicitations in Practice
Michael Sonksen, Eli Lilly and Company
2:25 PM

Bayesian D-Optimal Screening Experiments with Partial Replication
David Edwards, Virginia Commonwealth University; Robert Leonard, Miami University
2:35 PM

A Bayesian Mallows Approach to Non-Transitive Pair Comparison Data: How Human Are Sounds?
Marta Crispino, Bocconi University; Natasha Barrett, Norges musikkhøgskole; Arnoldo Frigessi, OCBE, UiO; Elja Arjas, University of Helsinki, & OCBE, UiO; Valeria Vitelli, University of Oslo
2:35 PM

File linking with faulty matching information
Nicole Dalzell, Wake Forest University; Jerry Reiter, Department of Statistical Science, Duke University; Gale Boyd, Duke University
2:45 PM

Eliciting Priors and Tradeoffs to Assist in the Design of Clinical Studies
Joseph Kahn, Novartis Pharmaceuticals
2:45 PM

Bayesian Estimation for the Multivariate Normal Inverse Gaussian Model
YUAN FANG, Binghamton University; Sanjeena Dang, Binghamton University; Dimitris Karlis, Athens University of Economics and Business
2:50 PM

Bayesian Spatial Stream Network Models
Kristin Broms, Colorado State University; Mevin Hooten, Colorado State University; Ryan M. Fitzpatrick, Colorado Parks and Wildlife
2:50 PM

A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM

A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM

A Bayesian Approach to Misclassified Binary Response: Female Employment and Intimate Partner Violence in Urban India
Joon Jin Song, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
3:20 PM

Bayesian Link Model for Ineffcient Effects in Stochastic Frontier Production Function
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David T. Yi, Xavier University; Myoungjin Jung, Pusan National University
3:20 PM

Sensor-Based Localization of Diffusion Sources on Networks: a Bayesian Approach
Jun Li, Boston University; Juliane Manitz, Boston University; Enrico Bertuzzo, University Cà Foscari Venice; Eric Kolaczyk, Boston University
3:20 PM

Bayesian Multiple-Inflation Poisson Regression for Infection Data
Duchwan Ryu, Northern Illinois University; Devrim Bilgili, University of North Florida; Önder Ergönül, Koc ? University, Istanbul, Turkey; Nader Ebrahimi, Northern Illinois University
3:25 PM

Using Phylogenetic Models for Quantitative Trait Mapping with Multiple Loci
Katherine Thompson, University of Kentucky; Catherine Linnen, University of Kentucky
3:35 PM

Wednesday, 08/02/2017

Variable Selection And Nonlinear Effect Discovery in Partially Linear Mixture Cure Rate Models
Abdullah Masud, AbbVie

Agents of Change: a Spatial Multivariate Bayesian Test to Identify Factors That Shape a Microbiome
Susheela Singh, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Robert Dunn, North Carolina State University

A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati

Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models
James Gilman, NC State University; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses

A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships
Wenyi Wu, University of Michigan; Peter Lenk, University of Michigan

A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University

Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST

Estimation of Component's Reliability for Masked Data Complex Systems
Agatha Rodrigues; Adriano Polpo, Universidade Federal de São Carlos; Carlos Alberto de Bragança Pereira, Universidade de São Paulo

Bayesian Subgroup Finding by Stochastic Optimization
Arinjita Bhattacharyya, University of Louisville; LURDES INOUE INOUE, University of Washington; Peter Mueller, UT Austin; Riten Mitra, UNIVERSITY OF LOUISVILLE

Method Selection and Assumption Evaluation: Applications to Gene Expression Data
Demba Fofana

High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables
Nima Dolatnia; Alan Fern, Oregon State University; Sarah Emerson, Oregon State University

Chromosome Level Piecewise Helical Mixing Model for Recovering Chromatin Folding Structure from HiC-Data
Rongrong Zhang, Prudue University; Michael Yu Zhu, Purdue University; Ming Hu, Cleveland Clinic

MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION
Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs

Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh
8:35 AM

On the Semiparametric Bernstein-Von Mises Theorem in Regular and Nonregular Models
Judith N. Rousseau, Université Paris Dauphine
8:35 AM

BOP2: Bayesian Optimal Designs for Phase II Clinical Trials with Simple and Complex Endpoints
Heng Zhou, MD Anderson Cancer Center; Ying Yuan, M.D. Anderson Cancer Center
8:35 AM

Multivariate Spatio-Temporal Survey Fusion with Application to the American Community Survey and Local Area Unemployment Statistics
Scott H. Holan, University of Missouri; Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri
8:35 AM

Convergence Properties of Gibbs Samplers for Bayesian Probit Regression with Proper Priors
Saptarshi Chakraborty, University of Florida; Kshitij Khare, University of Florida
8:35 AM

Bayesian A-Optimal Design of Experiment with Quantitative and Qualitative Responses
Lulu Kang, Illinois Institute of Technology-Department of Applied Mathematics
8:35 AM

BAYESIAN PROBABILITY of SUCCESS for MULTIPLE CLINICAL TRIALS in CONTINUOUS OUTCOMES
Junnosuke Matsushima, Chugai Pharma USA
8:50 AM

Estimating Distributions for Populations Within Nested Geographies with Public-Use Data
Matthew Simpson, University of Missouri - Columbia; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan R Bradley, Florida State University
8:55 AM

Method Selection and Assumption Evaluation: Applications to Gene Expression Data
Demba Fofana
9:05 AM

Increasing Efficiency of Oncology Basket Trials Using a Bayesian Approach
Zheyu Liu, The University of Texas Health Science Center at Houston; Rong Liu, Bayer Healthcare; Mercedeh Ghadessi, Bayer Healthcare; Richardus.vonk Vonk, Bayer Healthcare
9:05 AM

Approximate Bayesian Inference via Iterated Random Functions
Aritra Guha, University of Michigan; Long Nguyen, University of Michigan
9:05 AM

Consistency in Professional Sports: The NFL's Parity Paradox
Michael J. Lopez, Skidmore College; Gregory Matthews, Loyola University Chicago; Benjamin Baumer, Smith College
9:15 AM

A Bayesian Lasso Functional Clustering Model
Alejandro Murua, Universite de Montreal; Folly Adjogou, Université de Montréal; Wolfgang Raffelsberger, Institut de Génetique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg
9:15 AM

Sequential Optimal Experimental Design Using Adaptive Transport Maps
Xun Huan, Sandia National Laboratories; Youssef Marzouk, Massachusetts Institute of Technology
9:15 AM

Generating Partially Synthetic Geocoded Public-Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Drexel University; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
9:15 AM

High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables
Nima Dolatnia; Alan Fern, Oregon State University; Sarah Emerson, Oregon State University
9:15 AM

Bayesian Design for Interim Analysis
Dung-Tsa Chen, Moffitt Cancer Center
9:20 AM

Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM

A Model Selection Study for Spatio-Temporal Change of Support
Andrew Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri
9:35 AM

Robust Subjective Bayesian Hypothesis Testing by Calibrating Prior Probabilities
Dan Spitzner, University of Virginia
9:35 AM

Bayesian Regression Models for Group Testing in the Presence of Dilution Effects
Md S. Warasi, Radford University; Timothy Hanson, University of South Carolina; Joshua Tebbs, University of South Carolina
9:35 AM

Building Quantitative Structure?Activity Relationship Models Using Bayesian Additive Regression Trees
Dai Feng, Merck; Matthew Pratola, The Ohio State University; Robert McCulloch, Arizona State University; Vladimir Svetnik, Merck & Co., Inc.
9:50 AM

Developing Variance Estimates for Products in the Economic Census
Jeremy Knutson, U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Katherine Thompson, U.S. Census Bureau
9:50 AM

Comparing Methods of Inference on the Basis of Imprecise Posterior Distributions
Reyhaneh Hosseini, University of Ottawa; David R. Bickel, University of Ottawa
9:50 AM

Practical Considerations for Designing Pediatric Trials
Jerry Weaver, Celgene
9:50 AM

Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM

MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION
Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs
10:10 AM

Forward Modeling: It's Essential for Palaeoclimatology
Andrew C Parnell, University College Dublin
10:35 AM

Bayesian Estimation of Principal Components for Functional Data
Adam Justin Suarez, Monsanto Company; Subhashis Ghosal, North Carolina State University
10:35 AM

Lagged Kernel Machine Regression for Identifying Time Windows of Susceptibility to Exposures of Complex Metal Mixtures
Shelley Liu, Icahn School of Medicine at Mount Sinai; Jennifer Bobb, Group Health Research Institute; Kyu Ha Lee, The Forsyth Institute; Chris Gennings, Icahn School of Medicine at Mount Sinai; Birgit Claus Henn, Boston University School of Public Health; David Bellinger, Harvard T.H. Chan School of Public Health; Christine Austin, Icahn School of Medicine at Mount Sinai; Lourdes Schnaas, National Institute of Perinatology, Mexico; Martha Tellez-Rojo, National Institute of Public Health, Mexico; Howard Hu, University of Toronto Dalla Lana School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai; Manish Arora, Icahn School of Medicine at Mount Sinai; Brent Coull, Harvard T.H. Chan School of Public Health
10:35 AM

Biopharm Safety Monitoring Working Group: Bayesian and Graphics Approaches Based on Regulatory Guidance
Kefei Zhou, Theravance Biopharma; Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
10:35 AM

Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM

Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:55 AM

Solution Uncertainty Quantification for Differential Equations
Oksana A Chkrebtii, The Ohio State University; David A Campbell, Simon Fraser University; Ben Calderhead, Imperial College London; Mark A Girolami, University of Warwick
11:00 AM

Modeling and Simulation of UEFA Champions League
Saman Muthukumarana, University of Manitoba; Ninad Khargonkar, Indian Institute of Technology - Kanpur
11:05 AM

Bayesian Spatial Tensor Regression for Neuroimages
Hossein Rekabdarkolaee; Montserrat Fuentes, Virginia Commonwealth University
11:05 AM

Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM

Business Cycle Synchronization: A Bayesian Model of Survey Forecasts
Kajal Lahiri, SUNY - Albany; Herbert Zhao, Towson University
11:05 AM

Bayesian Estimation of Case-Crossover Designs with Repeated Events
Daniel L. Gillen, University of California, Irvine; Sevan Gulesserian, University of California, Irvine
11:15 AM

A Bayesian Approach Developed for Single Arm Studies Using Performance Goals with Subgroups
Wei-Chen Chen, FDA/CDRH; Nelson Lu, CDRH/FDA
11:15 AM

When to Alert a Safety Assessment Committee - Approaches and Examples
Brian Waterhouse
11:15 AM

Bayesian High-Dimensional Linear Regression Under the Model Misspecification
Kyoungjae Lee, The University of Notre Dame; Minwoo Chae, The University of Texas at Austin; Lizhen Lin, The University of Notre Dame
11:20 AM

Adaptive Shrinkage in Polya Tree Type Models
Li Ma, Duke University
11:25 AM

Non-Parametric Bayesian Change-Points Methods for Detecting Driving Risk Changes
Qing Li, Univ. of Wisconsin-Madison; Feng Guo, Virginia Tech; Inyoung Kim, Virginia Tech
11:35 AM

Combining Multiple Sources of Public Health Surveillance Information with Analytic Methods
howard burkom, Johns Hopkins University Applied Physics Laboratory
11:35 AM

Testing Models for Weight Smoothing in the Current Employment Statistics Survey
Christopher Grieves, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
11:35 AM

Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies
Zhaohua Lu, St Jude Children's Research Hospital; Zakaria Khondke, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:35 AM

Bayesian Estimation of the Q Matrix in Cognitive Diagnosis Models
Yinghan Chen
11:35 AM

Bayesian Model Selection in the Presence of Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
11:35 AM

Multivariate Stochastic Process Models for Correlated Responses of Mixed Type
Tony Pourmohamad, Genentech; Herbert Lee, University of California, Santa Cruz
11:50 AM

Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM

A Study of Delay Discounting Using Bayesian Model Selection
Christopher T. Franck, Virginia Tech Department of Statistics
11:50 AM

Spatio-Temporal Clustering of Urban Traffic Networks
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:50 AM

Fitting a Stochastic Differential Equation Model to Eye Tracking Data
Yunlong Nie, Simon Fraser University
11:50 AM

Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM

Bayesian Regression with Proximal Algorithm
Lei Sun, University of Chicago; Nicholas Polson, University of Chicago
12:05 PM

Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM

Bayesian Approaches for Inference on Brain Connectivity Networks
Marina Vannucci, Rice University
2:05 PM

Penalized Spline of Propensity Methods for Treatment Comparisons
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael R. Elliott, University of Michigan
2:05 PM

A Bayesian Approach to Visual Inference
Susan VanderPlas; Heike Hofmann, Iowa State University; Eric Hare, Iowa State University
2:05 PM

Multiple Imputation for Handling Measurement Errors
Trivellore Raghunathan, University of Michigan School of Public Health
2:05 PM

Bayesian Analysis of Continuous Time Markov Chains with Applications to Phylogenetics
Tingting Zhao, University of British Columbia
2:05 PM

Bayesian Approach of Assessing Non-Inferiority of a New Treatment with Binary Outcomes in a Three-Arm Trial
Shrabanti Chowdhury; Samiran Ghosh, Wayne State University - Detroit, MI; Ram Tiwari, FDA/CDER/OT/OB
2:05 PM

Multivariate Fay-Herriot Bayesian Estimation of Small Area Means Under Functional Measurement Error
Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau; Serena Arima, Sapienza University, Rome; Brunero Liseo, Sapienza University, Rome; Gauri Datta, University of Georgia and US Census Bureau
2:05 PM

Regression Analysis of Multivariate Interval-Censored Failure Time Data Under Frailty Probit Models
Yifan Zhang, University of South Carolina; Lianming Wang, University of South Carolina
2:05 PM

A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM

Cepstral Models: An Overview of Recent Advances
Scott H. Holan, University of Missouri
2:30 PM

A Semi-parametric Bayesian Approach for Detection of Gene Expression Heterosis with RNA-Seq Data
Ran Bi, Iowa State University; Peng Liu, Iowa State University
2:35 PM

Nonparametric Methods for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations
Sujit K Ghosh, North Carolina State University; Bradley Turnbull, Apple Inc
2:45 PM

Harmonic Bayesian Prediction Under Alpha-Divergence
Yuzo Maruyama, The University of Tokyo
2:45 PM

Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Scott Bruce, Department of Statistical Science, Temple University; Martica H Hall, University of Pittsburgh; Daniel J Buysse, Department of Psychiatry, University of Pittsburgh; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
2:50 PM

Bayesian Nonparametric Models for Identification of Differential Genomic Signatures
Chiyu Gu; Subharup Guha, University of Missouri; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center
2:50 PM

Spatially-Dependent Multiple Testing Under Model Misspecification, with Application to Extreme Event Attribution
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California, Berkeley
2:50 PM

Latent Space Stochastic Block Model for Social Networks
Tin Lok James Ng, University College Dublin; Thomas Brendan Murphy, University College Dublin; Tyler McCormick, University of Washington; Bailey Fosdick, Colorado State University; Ted Westling, University of Washington
2:55 PM

Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM

Improved Acceptance Limits for ASTM Standard E2810
Richard Lewis, GlaxoSmithKline; Ailin Fan, North Carolina State University
3:05 PM

Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM

Preliminary Test Estimation and Shrinkage Estimation for Reduced Rank Regression in Cancer Epidemiology Studies
Jaya Satagopan, Memorial Sloan Kettering Cancer Center
3:05 PM

Use of Historical Control Data in the Analysis of a Non-Inferiority Trial
Isaac Nuamah, Janssen R & D; Youping Huang, Janssen R&D; Yevgen Tymofyeyev, Janssen R&D
3:05 PM

Bayesian Multiple Testing for Binary Data
Emrah Gecili; Siva Sivaganesan, University of Cincinnati
3:05 PM

Handling Incomplete Correlated Continuous and Binary Outcomes in Meta-Analysis of Individual Participant Data
Manuel Gomes, London School of Hygiene and Tropical Medicine; Laura Anne Hatfield, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
3:25 PM

Thursday, 08/03/2017

Imputation of Ordinal Data in the Agricultural Resource Management Survey Using Bayesian Methods
Christopher Burns, USDA-Economic Research Service; Sujit K Ghosh, North Carolina State University; Daniel Prager, USDA-Economic Research Service; Li Zhang, George Mason University
8:35 AM

Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM

Bayesian Geostatistical Modeling for MRSA Incidence Estimates
Yi Mu, Centers for Disease Control and Prevention
8:35 AM

A Hierarchical Bayesian Non-Parametric Approach to Modeling Microbial Community Structure
John D O'Brien, Bowdoin College; Chris Quince, University of Warwick
8:35 AM

Incorporating Pharmacokinetic Assessment in Bayesian Phase I Trial Design in Oncology Area
Kentaro Takeda, Astellas Pharma Global Development, Inc.; Kanji Komatsu, Astellas Pharma Inc.; Satoshi Morita, Kyoto University Graduate School of Medicine
8:50 AM

Phylogeny-Based Tumor Subclone Identification Using Bayesian Feature Allocation Model
Li Zeng, Yale University; Hongyu Zhao, Yale University
8:50 AM

Bayesian Variable Selection for High-Dimensional Genomic Data with Survival Response
Amir Nikooienejad, Texas A&M University; Valen Johnson, Texas A&M University
8:50 AM

Meta-Analysis of Model Specifications Assessing Harmful Algal Blooms as a Risk Factor for Amyotrophic Lateral Sclerosis in Northern New England
Beth Ziniti, Applied Geosolutions; Ernst Linder, Department of Mathematics and Statistics, University of New Hampshire; Nathan Torbick, Applied Geosolutions; Angeline Andrew, Department of Neurology, Dartmouth Medical School; Elijah W. Stommel, Department of Neurology, Dartmouth Medical School
8:50 AM

Bayesian Design Applications for Medical Devices Trials Using Power Prior
Songtao Jiang, Boston Scientific Corporation; Peter Lam, Boston Scientific Corporation; Hong Wang, Boston Scientific Corporation
8:50 AM

Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
Sheng Luo, The University of Texas Health Science Center at Houston; Kan Li, The University of Texas Health Science Center at Houston
8:55 AM

Bayesian Analysis of Survey Data with Sampling Weights
Luis Leon Novelo, University of Texas-Health Science Center At Houston-School of Public Health; Terrance Savitsky, U.S. Bureau of Labor Statistics
8:55 AM

Does Hospice Reduce End-Of-Life Medical Costs? Evidence from a Bayesian Analysis
Fan Li, Duke University; Jerry Reiter, Department of Statistical Science, Duke University; David Klemish, Duke University; Don Taylor, Duke University
9:00 AM

Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM

Impact of Mis-Specified Prior in Combination Dose Finding
Lixia Pei, Janssen Research & Development
9:05 AM

Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
Jenna Krall, George Mason University; Stefanie Ebelt Sarnat, Emory University
9:05 AM

Prospective Specification of a Conditional Power Prior for Clinical Trials
Tyson Rogers, NAMSA
9:05 AM

Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM

Hierarchical Bayesian Models for Noisy Size Responses from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
9:15 AM

Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM

Bayesian Mixture Model for Genome-Wide Association Studies
Ori Rosen, Univ of Texas at El Paso; Wesley Kurt Thompson, UCSD
9:20 AM

Bayesian Approach for Managing Microbial Risks from Wastewater Reuse for Irrigation
Ram Kafle, Sam Houston State University
9:20 AM

Optimal Positioning of Mobile Radiation Sensors Using Mutual Information
Kathleeen Schmidt, Lawrence Livermore National Laboratory; Ralph Smith, North Carolina State University; Jason HIte, North Carolina State University; John Mattingly, North Carolina State University
9:20 AM

Bayesian Estimation of the Default Rate Distributions with Non-Gaussian Single Factor Models
Takayuki Shiohama, Tokyo University of Science
9:20 AM

Estimating Heterogeneous Causal Effects: a Bayesian Nonparametric Approach
Xinyi Xu, Ohio State University; Ling Wang, Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University
9:25 AM

A Nonparametric Mixture of Semiparametric Bayesian Hierarchical Survival Models for Pathway Based Analysis
Lin Zhang, Virginia Tech; Inyoung Kim, Virginia Tech
9:35 AM

Bayesian analysis of sparse counts under the unrelated question design
Balgobin Nandram, Worcester Polytechnic Institute
9:35 AM

A Bayesian GWAS Method Which Utilizes Haplotype Clusters to Make Predictions When Maternal and Paternal Breed Composition Is Known
Danielle Wilson-Wells, University of Nebraska-Lincoln; Stephen D. Kachman, University of Nebraska-Lincoln
9:35 AM

A Personalized Bayesian Information-Driven Dose-Finding Design
Ilaria Domenicano, Dana-Farber Cancer Institute/University of Rome
9:35 AM

A Bivariate Asymmetric Laplace Distribution
Matthew Arvanitis
9:35 AM

Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM

A Model-Based Approach to Crop Yield Forecasting
Nathan Cruze, USDA-NASS; Habtamu Benecha, USDA National Agricultural Statistics Service
9:35 AM

Bayesian Sparse Multiple Regression for Simultaneous Rank Reduction and Variable Selection
Antik Chakraborty, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM

A Bayesian Multi-Dimensional Genotype Calling Algorithm for Multi-Allelic SNPs
Janice Brodsky; Jeremy Gollub, Thermo Fisher Scientific; Dorothy Oliver, Thermo Fisher Scientific; Teresa Webster, Thermo Fisher Scientific
9:50 AM

Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM

Bayesian Dynamic Linear Models for Spot Prices of Hydrocarbon Gas Liquids
Peter Gross, U.S. Energy Information Administration
9:55 AM

Exploring New Estimation Techniques for the Monthly Wholesale Trade Survey
Joanna Lineback, U.S. Census Bureau; Martin Klein, U.S. Census Bureau; Schafer Joseph, U.S. Census Bureau
9:55 AM

Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
Lu Zhang, UCLA; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, UCLA Fielding School of Public Health
10:05 AM

A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease
Daisy Philtron, The Pennsylvania State University; Benjamin A Shaby, Penn State University
10:05 AM

Bayesian Model Averaging in Multiple Imputation Under Informative Sampling
Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
10:35 AM

Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
Zachary Micah Thomas, Eli Lilly and Company; Mario Peruggia, The Ohio State University; Steven MacEachern, The Ohio State University
10:35 AM

Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Models
Yang Liu, University of Connecticut; Xiaojing Wang, University of Connecticut
10:35 AM

Motivation and Design of the DIA Adaptive Design Scientific Working Group (DIA ADSWG) Survey for the Perception and Use of Adaptive Designs in Pharmaceutical Clinical Development
Alan Hartford, AbbVie
10:35 AM

A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM

Teaching Bayes: The Essential Parts
Rebecca C. Steorts, Duke University; Brenda Betancourt, Duke University
10:55 AM

Residuals and Influence in Bayesian Ensemble Models
Robert McCulloch, Arizona State University; Matthew Pratola, The Ohio State University
11:00 AM

Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data
Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Yinge Sun, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:00 AM

Computationally Efficient Bayesian Estimation of High-Dimensional Copulas with Discrete and Mixed Margins
Robert Kohn, University of New South Wales
11:00 AM

Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression
Qixuan Chen, Columbia University; Yutao Liu, Columbia University
11:05 AM

A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS
Jose Guardiola, Texas A&M University-CC; Hassan Elsalloukh, University of Arkansas at Little Rock
11:15 AM

Bayesian Lasso for GWAS
LiJin Joo, New York University; Cheongeun Oh, New York University
11:20 AM

A Hierarchical Bayesian Approach to Estimation for the Annual Survey of Local Government Finances
Noah Bassel, US Census Bureau; Bac Tran, US Census Bureau
11:20 AM

Empirical Bayes Model Averaging with Influential Observations
Christopher Hans, The Ohio State University; Mario Peruggia, The Ohio State University; Junyan Wang, The Ohio State University
11:25 AM

Multi-Arm Bayesian Designs for Clinical Trials
Lorenzo Trippa, Dana-Farber Cancer Institute, Harvard
11:25 AM

Exact Subsampling MCMC
Mattias Villani, Linkoping University
11:25 AM

Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys
Yajuan Si, University of Wisconsin-Madison
11:35 AM

Program Success Criteria for Drug Approval: P Value vs. Bayesian Posterior Probability
Meihua Wang, Merck & Co.; Frank Liu, Merck & Co. Inc.
11:35 AM

A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM

On the Use of Empirical Bayes Techniques to Bridge from an in Vitro System to a Clinical Trial
Ya Meng, Sanofi Pasteur; Camille Salamand, Sanofi Pasteur; Robert D. Small, Sanofi Pasteur
11:35 AM

Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM

Missing Values in Linear Dynamic Panel Models - a Bayesian Approach Towards Model Comparison
Marcel Preising, University of Bamberg; Christian Aßmann, University of Bamberg
11:50 AM

Robust Estimation for the Annual Survey of Public Employment & Payroll Using Mixture of Linear Mixed-effects Models with the MCMC Procedure
Giang Trinh, Census Bureau; Bac Tran, US Census Bureau
11:50 AM

A Large-Scale Genome-Wide Enrichment Analysis Identifies New Trait-Associated Genes, Pathways and Tissues Across 31 Human Phenotypes
Xiang Zhu, University of Chicago; Matthew Stephens, University of Chicago
12:05 PM

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