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

Activity Details


Register CE_03C
Sat, 7/29/2017, 8:30 AM - 5:00 PM H-Holiday Ballroom 4
Bayesian Designs for Phase I-II Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section , Section on Bayesian Statistical Science
Instructor(s): Peter Thall, M.D. Anderson Cancer Center, Ying Yuan, M.D. Anderson Cancer Center
8:30 AM Bayesian Designs for Phase I-II Clinical Trials (ADDED FEE) Peter Thall, M.D. Anderson Cancer Center ; Ying Yuan, M.D. Anderson Cancer Center
 
 

Register CE_08C
Sun, 7/30/2017, 8:30 AM - 5:00 PM H-Holiday Ballroom 4
Bayesian and Frequentist Adaptive Methods for Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): Peter Mueller, UT Austin, Frank Bretz, Novartis AG, Byron Jones, Novartis Pharma
8:30 AM Bayesian and Frequentist Adaptive Methods for Clinical Trials (ADDED FEE) Peter Mueller, UT Austin ; Frank Bretz, Novartis AG ; Byron Jones, Novartis Pharma
 
 

Register CE_13C
Sun, 7/30/2017, 8:30 AM - 5:00 PM H-Key Ballroom 11
Bayesian Time Series Analysis and Forecasting (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): Raquel Prado, UC Santa Cruz, Mike West, Duke University, Marco Ferreira, Virginia Tech
8:30 AM Bayesian Time Series Analysis and Forecasting (ADDED FEE) Raquel Prado, UC Santa Cruz ; Mike West, Duke University ; Marco Ferreira, Virginia Tech
 
 

10 * !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-308
General-Purpose Fast Accurate Bayesian Computation at Big-Data Scale — Invited Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , Section on Statistical Learning and Data Science
Organizer(s): David Draper, University of California, Santa Cruz
Chair(s): David Draper, University of California, Santa Cruz
2:05 PM Scalable Bayesian Inference with Hamiltonian Monte Carlo Michael Betancourt, University of Warwick
2:25 PM Coresets for Scalable Bayesian Logistic Regression Tamara Broderick, MIT
2:45 PM Communication-Efficient Likelihood Approximation Michael Jordan, UC Berkeley ; Jason Lee ; Yun Yang, Florida State University
3:05 PM ABC Random Forests Jean-Michel Marin, University of Montpellier
3:25 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
3:45 PM Floor Discussion
 
 

12 * !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-Ballroom I
Bridging BFF (Bayesian/Fiducial/Frequentist) Inference in the Era of Data Science — Invited Papers
IMS , Section on Bayesian Statistical Science , Section on Statistical Consulting
Organizer(s): Dongchu Sun, University of Missouri
Chair(s): Dongchu Sun, University of Missouri
2:05 PM BFF Inferences with Rs: Replications, Relevance and Robustness Xiao-Li Meng, Harvard University ; Keli Liu, Stanford University
2:30 PM The Use of Rejection Odds and Rejection Ratios in Testing Hypotheses James Berger, Duke University ; Daniel Benjamin, University of Southern California ; Thomas Sellke, Purdue University
2:55 PM New Perspectives of P-Value and C-Factor for Hypothesis Testing Regina Y Liu, RUTGERS UNIVERSITY ; Sifan Y Liu, RUTGERS UNIVERSITY ; MINGE Y XIE, RUTGERS UNIVERSITY
3:20 PM Floor Discussion
 
 

14 * !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-304
Data Science with Semiparametric Bayes — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Business and Economic Statistics Section
Organizer(s): Richard Hahn, University of Chicago
Chair(s): Carlos Carvalho, University of Texas at Austin
2:05 PM Bayesian Causal Forests Richard Hahn, University of Chicago ; Jared S Murray, Carnegie Mellon University ; Carlos Carvalho, University of Texas at Austin
2:35 PM Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models Jared S Murray, Carnegie Mellon University
3:05 PM Semiparametric Inference for the Means of Heavy-Tailed Distributions Hedibert Lopes, Insper ; Matt Taddy, University of Chicago Booth School of Business ; Matt Gardner, eBay
3:35 PM Floor Discussion
 
 

18 !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-303
Optimal Transport and Scalable Bayes: A Fruitful Synergy? — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Sanvesh Srivastava, University of Iowa
Chair(s): Ranjan Maitra, Iowa State University
2:05 PM Dimensionality Reduction on Probability Measures with the Optimal Transport Metric Vivien Seguy, Kyoto University
2:25 PM Barycentric Gaussian Processes for Nonparametric Regression Cheng Li, National University of Singapore ; Sanvesh Srivastava, The University of Iowa ; David B. Dunson, Duke University
2:45 PM Nonparametric Bayes Multiresolution Testing for High-Dimensional Rare Events Jyotishka Datta, University of Arkansas, Fayetteville ; David Dunson, Duke University
3:05 PM Scalable Bayes Under Informative Sampling Sanvesh Srivastava, University of Iowa ; Terrance Savitsky, U.S. Bureau of Labor Statistics
3:25 PM Discussant: RAJARSHI GUHANIYOGI, UNIVERSITY OF CALIFORNIA SANTA CRUZ
3:45 PM Floor Discussion
 
 

34
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-312
Bayesian Functional and Data Models — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Ronald Neath, Columbia
2:05 PM Bayesian Inference in Nonparanormal Graphical Models Jami Mulgrave ; Subhashis Ghoshal, North Carolina State University
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
2:35 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
2:50 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
3:05 PM Respiratory Disease Diagnosis for Dolphin using Breath Data Chinh Lai, Texas A&M University - Corpus Christi ; Lei Jin, Texas A&M University -Corpus Christi ; Andreas Fahlman, Fundación Oceanogràfic de la Comunitat Valenciana
3:20 PM Floor Discussion
 
 

48 * !
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-340
Bayesian Adaptive Survey Designs — Invited Papers
Survey Research Methods Section , Section on Bayesian Statistical Science
Organizer(s): Natalie Shlomo, University of Manchester
Chair(s): Natalie Shlomo, University of Manchester
4:05 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
4:20 PM Modeling Nonresponse Bias Likelihood and Response Propensity: The Design and Implementation of Statistical Models to Identify Cases for Interventions During Data Collection Daniel Pratt, RTI International ; Jeffrey Rosen, RTI International ; Michael Duprey, RTI International ; Jamie Wescott, RTI International
4:35 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
4:50 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
5:05 PM Using Bayesian Methods to Rank Cases Based on Response Propensity During Data Collection James Wagner, University of Michigan
5:20 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
5:35 PM Floor Discussion
 
 

63 * !
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-323
Statistical Methods for Brain Connectivity and Network Analysis — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , Section on Statistics in Imaging
Organizer(s): Phebe B Kemmer, Eli Lilly and Company
Chair(s): Ixavier Higgins, Emory University
4:05 PM A Longitudinal Model for Functional Connectivity Using fMRI Brian Hart, University of Minnesota-Div of Biostatistics ; Ivor Cribben, University of Alberta ; Mark Fiecas, University of Minnesota
4:25 PM Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data Suprateek Kundu, Emory University, Rollins School of Public Health
4:45 PM Clustering DTI Data to Identify White Matter Fiber Bundles Using a Mixture of Langevin Distribution Subhadip Pal, University of Louisville
5:05 PM Towards Identifying and Refining Individual Connectivity Patterns in the Human Brain Joaquin Goni, Purdue University ; Enrico Amico, Purdue University
5:25 PM Use of Brain Connectivity Information in Regression Parameter Estimation via Generalized Regularization Damian Brzyski, Indiana University ; Marta Karas, Indiana University ; Joaquin Goni, Purdue University ; Beau Ances, Washington University School of Medicine ; Timothy Randolph, Fred Hutchinson Cancer Research Center ; Jaroslaw Harezlak, Indiana University School of Public Health
5:45 PM Floor Discussion
 
 

71
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-324
Environmental Applications of Bayesian Methods — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Whitney Huang, Purdue University
4:05 PM Assessing Temporal Uncertainties for Hydroclimatic Feature Comparison — Kevin Nichols, Cal State Fullerton ; Thabat Dahdoul, Cal State Fullerton ; Thi Ho, Cal State Fullerton ; Reza Ramezan, Cal State Fullerton
4:20 PM Robust Probabilistic Forecasting Wanfang Chen, King Abdullah University of Science and Technology ; Marc G. Genton, KAUST
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,
4:50 PM A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels Georgia Papadogeorgou ; Francesca Dominici, Harvard University
5:05 PM Functional Regression for Monitoring and Predicting Changes in Forest Conditions Across Space and Time MD KAMRUL HASAN KHAN, University of Arkansas ; Avishek Chakraborty, University of Arkansas ; Giovanni Petris, University of Arkansas ; Barry Wilson, US Forest Service
5:20 PM Hierarchical Model for Species Abundance Using Efficient Dimension Reduction for Lattice Data Ghadeer Mahdi, University of Arkansas ; Avishek Chakraborty, University of Arkansas ; Mark Arnold, University of Arkansas
5:35 PM Bayesian Emulators for Composition Distribution of Kepler's Sub-Neptune Planets Anirban Mondal, Case Western Reserve University ; Angie Wolfgang, The Pennsylvania State University
 
 

119
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-323
SPEED: Bayesian Methods Student Awards — Contributed Speed
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Chair(s): Valarie Jo Bell, Texas Woman's University
8:35 AM 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
8:40 AM 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
8:45 AM Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
8:50 AM 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
8:55 AM Heterogeneous Reciprocal Graphical Models Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
9:00 AM A Nonparametric Bayesian Approach to Copula Estimation Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
9:05 AM 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
9:10 AM 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
9:15 AM 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
9:20 AM Semiparametric Bayesian Regression for Multivariate Skewed Responses Apurva Bhingare
9:30 AM Finding Multiple Outcomes with Similar Linear Models Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
9:35 AM Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series Yi Zhao, Brown University ; Xi Luo, Brown University
9:40 AM Bayesian Methods for Discovering Structure in Neural Spike Trains Scott Linderman
9:45 AM On some distributional properties of hierarchical processes Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
9:50 AM Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination Matt Johnson, Duke University ; Mike West, Duke University
9:55 AM Bayesian Estimation and Uncertainty Quantification in Differential Equation Models Prithwish Bhaumik, Quantifind Inc.
10:00 AM Stagewise Generalized Estimating Equations with Applications to Suicide Prevention Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
10:05 AM Failure of Conjugate Priors for MAP Estimation with Unknown Variance Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
10:10 AM Bayesian Analysis of Time Series with Irregular or Latent Observation Times Aaron Springford, Queen's University ; David Thomson, Queen's University
10:15 AM 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
 
 

125
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-338
Bayesian Methods for Discrete Data Problems — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Chaojie Wang, The Chinese Univ of Hong Kong
8:35 AM Bayesian Regression Modeling with the Tilted Beta Distribution Eugene Hahn, Salisbury University
8:50 AM Objective Bayesian Modeling of Count Data Si Cheng, University of Cincinnati ; Xia Wang, University of Cincinnati
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
9:20 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
9:35 AM Baysian Approach to Analysis of Contingency Tables Huijun Yi, Troy University ; Ping Ye, University of North Georgia
9:50 AM Study of Spatiotemporal patterns and trends of extreme precipitation indices in south east USA using quantile regression Bhikhari Tharu
10:05 AM Floor Discussion
 
 

Register CE_18C
Mon, 7/31/2017, 8:30 AM - 5:00 PM H-Holiday Ballroom 5
Applied Bayesian Computational Methods (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): Abel Rodriguez, University of California, Santa Cruz, Christopher Paciorek, University of California, Berkeley
8:30 AM Applied Bayesian Computational Methods (ADDED FEE) Abel Rodriguez, University of California, Santa Cruz ; Christopher Paciorek, University of California, Berkeley
 
 

Register CE_20C
Mon, 7/31/2017, 8:30 AM - 5:00 PM H-Holiday Ballroom 4
Bayesian Modeling and Inference for High-Dimensional Spatial-Temporal Data (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): Abhirup Datta, Johns Hopkins University, Sudipto Banerjee, UCLA Fielding School of Public Health, Andrew O. Finley, Michigan State University
8:30 AM Bayesian Modeling and Inference for High-Dimensional Spatial-Temporal Data (ADDED FEE) Abhirup Datta, Johns Hopkins University ; Sudipto Banerjee, UCLA Fielding School of Public Health ; Andrew O. Finley, Michigan State University
 
 

140 * !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-314
The Challenges and Advantages of Utilizing Bayesian Statistical Methodology in Extrapolation of Adult Use Data to Pediatric Study Designs and Evaluation — Invited Papers
Biopharmaceutical Section , Section on Bayesian Statistical Science , Biometrics Section
Organizer(s): Yodit Seifu, Ferring Pharmaceuticals
Chair(s): Yodit Seifu, Ferring Pharmaceuticals
10:35 AM Bayesian Statistics in Extrapolation for Pediatric Trials Freda Cooner, FDA/CDER/OTS/OB
10:55 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
11:15 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
11:35 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
11:55 AM Discussant: Margaret Gamalo-Siebers, Eli Lilly
12:15 PM Floor Discussion
 
 

147 * !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-328
Bayesian Hierarchical Modeling: Obtaining Optimal Performance Through Theoretical Understanding — Invited Papers
IMS , Section on Bayesian Statistical Science
Organizer(s): James Berger, Duke University
Chair(s): James Berger, Duke University
10:35 AM Posterior Concentration for Bayesian Regression Trees and their Ensembles Veronika Rockova, University of Chicago ; Stephanie van der Pas, Leiden University
11:00 AM Large-P Small-N Nonparametric Regression and Additive-Interactive Response Functions Surya T Tokdar, Duke University
11:25 AM An Objective Prior for Hyperparameters in Normal Hierarchical Models Dongchu Sun, University of Missouri
11:50 AM Discussant: Edward I. George, Wharton, University of Pennsylvania
12:15 PM Floor Discussion
 
 

158 *
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-324
How to Introduce Management to Bayesian Reliability — Topic Contributed Panel
Section on Bayesian Statistical Science
Organizer(s): Allan T Mense, Raytheon
Chair(s): Shane Reese, Brigham Young University
10:35 AM How to Introduce Management to Bayesian Reliability
Panelists: Allan T Mense, Raytheon
Alyson Wilson, North Carolina State University
Kassie Fronczyk, Institute for Defense Analyses
12:10 PM Floor Discussion
 
 

162
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-326
SPEED: Government Statistics, Health Policy, and Marketing — Contributed Speed
Government Statistics Section , Health Policy Statistics Section , Section on Statistics in Marketing , Section on Bayesian Statistical Science , Social Statistics Section , Section on Statistics in Defense and National Security
Chair(s): Cynthia Rush, Columbia University
10:35 AM Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
10:40 AM Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates Shaofen Grace Deng, U.S. Energy Information Administration ; Greg Lawson , U.S. Energy Information Administration ; Chrishelle Lawrence, U.S. Energy Information Administration
10:45 AM Demonstrating the Usefulness of the National Hospital Care Survey to Track Patients Who Used Outpatient Department and Other Hospital Services Over Time Geoffrey Jackson, National Center for Health Statistics, CDC ; Margaret Hall, National Center for Health Statistics, CDC ; Alexander Schwartzman, National Center for Health Statistics, CDC
10:50 AM Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS Jay Olsen, EIA Dept of Energy
10:55 AM Methodologies for Clinical Trials Using Historical Control Yeh-Fong Chen, US Food and Drug Administration
11:00 AM Forced Migration: Visualizing Patterns of Refugee Movements Jacquelyn Neal, Vanderbilt University ; Hannah E Weeks, Vanderbilt University
11:05 AM Raking Weighting Methodology: Reweight Combined Multiple Years of Child Data, the Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-Back Survey Xiaoting Qin, Center for Disease Control Prevention ; Hatice S Zahran, Center for Disease Control Prevention ; Cathy M Bailey, Center for Disease Control Prevention
11:10 AM Beneath the Veneer of Healthcare Quality Measurement: Sample Size Estimation Adeline Wilcox, Retired
11:20 AM Racial and Ethnic Disparities in Disability Among Medicare Beneficiaries in Rural Communities: ACS 2012-2015 Loida Tamayo, CMS Office of Minortiy Health ; Shondelle Wilson-Frederick, CMS Office of Minority Health ; Elsa Haile, CMS Office of Minority Health ; Cara James, CMS Office of Minority Health
11:25 AM Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome Maria Cuellar, Carnegie Mellon University
11:30 AM A Terminal Trend Model for Longitudinal Medical Cost Data and Survival Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
11:35 AM Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers Katherine Lofgren, Harvard University ; Daniel Kramer, Beth Israel Deaconess Medical Center ; Joshua Salomon, Harvard T.H. Chan School of Public Health ; Laura Anne Hatfield, Harvard Medical School
11:40 AM A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted Lysbeth Floden, University of Arizona ; Patrick Anthony O'Connor, University of Arizona ; Melanie Bell, University of Arizona
11:45 AM Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data Douglas Ezra Morrison, UCLA ; Ron Brookmeyer, UCLA ; Oliver Laeyendecker, Johns Hopkins University ; Jacob Konikoff
11:50 AM An Integrated Analysis and Reporting System for Data Science Teams Iyue Sung, Press Ganey ; David Klotz, Press Ganey ; Jacob Cheng, Press Ganey ; Wei-Han Chen, Press Ganey ; Nikolas Matthes, Press Ganey ; Peggy Miller, Press Ganey
11:55 AM A Community and Node Attribute-Corrected Stochastic Blockmodel — Kristen M. Altenburger, Stanford University ; W. Philip Kegelmeyer, Sandia National Laboratories ; Ali Pinar, Sandia National Laboratories ; Jeremy D. Wendt, Sandia National Laboratorie ; Cliff Anderson-Bergman, Sandia National Laboratories
12:00 PM Analysis of the Australian Election Study Using Bayesian Quantile Regression Models Charles Au, University of Sydney ; S. T. Boris Choy, University of Sydney
12:05 PM AARP 2016 Master Model Building and Validation Renting Xu, AARP ; Jared Weiss, AARP, Inc ; Paul Maiste, Lityx,LLC ; Jerrod Begora, Lityx,LLC ; Roger Marcus, Lityx,LLC
12:10 PM Floor Discussion
 
 

168
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-329
Bayesian Models for Gaussian and Point Processes — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Pulong Ma, Department of Mathematical Sciences, University of Cincinnati
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
10:50 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
11:05 AM Gaussian Processes for Individualized Continuous Treatment Rule Estimation Pavel Shvechikov, Higher School of Economics ; Evgeniy Riabenko, Higher School of Economics
11:20 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
11:35 AM Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction Peter Marcy, Los Alamos National Laboratory
11:50 AM Gaussian Process Ensembles Gregory Watson ; Donatello Telesca, UCLA
12:05 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
 
 

183
Mon, 7/31/2017, 10:30 AM - 11:15 AM CC-Halls A&B
SPEED: Bayesian Methods Student Awards — Contributed Poster Presentations
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging
Chair(s): Jessi Cisewski, Yale University
17: 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
18: 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
19: Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
20: 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
21: Heterogeneous Reciprocal Graphical Models Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
22: A Nonparametric Bayesian Approach to Copula Estimation Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
23: 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
24: 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
25: 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
26: Semiparametric Bayesian Regression for Multivariate Skewed Responses Apurva Bhingare
27: Finding Multiple Outcomes with Similar Linear Models Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
28: Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series Yi Zhao, Brown University ; Xi Luo, Brown University
29: Bayesian Methods for Discovering Structure in Neural Spike Trains Scott Linderman
30: On some distributional properties of hierarchical processes Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
31: Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination Matt Johnson, Duke University ; Mike West, Duke University
32: Bayesian Estimation and Uncertainty Quantification in Differential Equation Models Prithwish Bhaumik, Quantifind Inc.
33: Stagewise Generalized Estimating Equations with Applications to Suicide Prevention Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
34: Failure of Conjugate Priors for MAP Estimation with Unknown Variance Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
35: Bayesian Analysis of Time Series with Irregular or Latent Observation Times Aaron Springford, Queen's University ; David Thomson, Queen's University
36: 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
The Speed portion will take place during Session 214516
 
 

Register 192
Mon, 7/31/2017, 12:30 PM - 1:50 PM CC-Ballroom II
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Elena Erosheva, University of Washington
ML20: How Can Disease Progression Modeling Help Us Build Better Clinical Trials? Melanie Quintana, Berry Consultants
 
 

Register CE_21C
Mon, 7/31/2017, 1:00 PM - 5:00 PM H-Key Ballroom 8
Bayesian Analysis of Big and High-Dimensional Data (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Bayesian Statistical Science
Instructor(s): David Dunson, Duke University
1:00 PM Bayesian Analysis of Big and High-Dimensional Data (ADDED FEE) David B. Dunson, Duke University
 
 

208 * !
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-322
Substantial Evidence Using Bayesian Statistics in New Drug Approvals — Invited Papers
Section on Bayesian Statistical Science , Health Policy Statistics Section , Statistics and Public Policy
Organizer(s): Fanni Natanegara, Eli Lilly and Company
Chair(s): Fanni Natanegara, Eli Lilly and Company
2:05 PM A Global Oncology Platform Trial for Personalized Medicine: GBM AGILE Jason Connor, Berry Consultants
2:20 PM Predictive Evidence Threshold Scaling: Does the Evidence Meet a Confirmatory Standard? Satrajit Roychoudhury, Pfizer Inc ; Beat Neuenschwander, Novartis Pharma AG ; Michael Branson, Novartis Pharma AG
2:35 PM Shedding a Bayesian Light on the Evidence-Based Medicine J. Jack Lee, UT MD Anderson Cancer Ctr.
2:50 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
3:05 PM Discussant: Stephen J Ruberg, Eli Lilly and Co
3:20 PM Discussant: John Scott, FDA
3:35 PM Floor Discussion
 
 

234
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-304
Bayesian Conditional Models and Updates — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Yang Liu, University of Connecticut
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
2:20 PM Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo Leo Duan, Johns Hopkins University ; James Johndrow, Stanford University ; David Dunson, Duke University
2:35 PM A Modified Conditional Metropolis-Hastings Sampler with Two Generalized Strategies Jianan Hui, University of California, Riverside ; James Flegal, University of California, Riverside ; Alicia Johnson, Macalester College
2:50 PM On General Sampling Schemes for Particle Markov Chain Monte Carlo Methods Christopher Carter, University of New South Wales ; Robert Kohn, University of New South Wales ; Eduardo Mendes, Fundacao Getulio Vargas
3:05 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
3:20 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
3:35 PM Floor Discussion
 
 

253
Mon, 7/31/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Government Statistics, Health Policy, and Marketing — Contributed Poster Presentations
Government Statistics Section , Health Policy Statistics Section , Section on Statistics in Marketing , Section on Bayesian Statistical Science , Social Statistics Section , Section on Statistics in Defense and National Security
Chair(s): Jessi Cisewski, Yale University
15: Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
16: Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates Shaofen Grace Deng, U.S. Energy Information Administration ; Greg Lawson , U.S. Energy Information Administration ; Chrishelle Lawrence, U.S. Energy Information Administration
17: Demonstrating the Usefulness of the National Hospital Care Survey to Track Patients Who Used Outpatient Department and Other Hospital Services Over Time Geoffrey Jackson, National Center for Health Statistics, CDC ; Margaret Hall, National Center for Health Statistics, CDC ; Alexander Schwartzman, National Center for Health Statistics, CDC
18: Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS Jay Olsen, EIA Dept of Energy
19: Methodologies for Clinical Trials Using Historical Control Yeh-Fong Chen, US Food and Drug Administration
20: Forced Migration: Visualizing Patterns of Refugee Movements Jacquelyn Neal, Vanderbilt University ; Hannah E Weeks, Vanderbilt University
21: Raking Weighting Methodology: Reweight Combined Multiple Years of Child Data, the Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-Back Survey Xiaoting Qin, Center for Disease Control Prevention ; Hatice S Zahran, Center for Disease Control Prevention ; Cathy M Bailey, Center for Disease Control Prevention
22: Beneath the Veneer of Healthcare Quality Measurement: Sample Size Estimation Adeline Wilcox, Retired
23: Racial and Ethnic Disparities in Disability Among Medicare Beneficiaries in Rural Communities: ACS 2012-2015 Loida Tamayo, CMS Office of Minortiy Health ; Shondelle Wilson-Frederick, CMS Office of Minority Health ; Elsa Haile, CMS Office of Minority Health ; Cara James, CMS Office of Minority Health
24: Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome Maria Cuellar, Carnegie Mellon University
25: A Terminal Trend Model for Longitudinal Medical Cost Data and Survival Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
26: Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers Katherine Lofgren, Harvard University ; Daniel Kramer, Beth Israel Deaconess Medical Center ; Joshua Salomon, Harvard T.H. Chan School of Public Health ; Laura Anne Hatfield, Harvard Medical School
27: A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted Lysbeth Floden, University of Arizona ; Patrick Anthony O'Connor, University of Arizona ; Melanie Bell, University of Arizona
28: Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data Douglas Ezra Morrison, UCLA ; Ron Brookmeyer, UCLA ; Oliver Laeyendecker, Johns Hopkins University ; Jacob Konikoff
29: An Integrated Analysis and Reporting System for Data Science Teams Iyue Sung, Press Ganey ; David Klotz, Press Ganey ; Jacob Cheng, Press Ganey ; Wei-Han Chen, Press Ganey ; Nikolas Matthes, Press Ganey ; Peggy Miller, Press Ganey
30: A Community and Node Attribute-Corrected Stochastic Blockmodel — Kristen M. Altenburger, Stanford University ; W. Philip Kegelmeyer, Sandia National Laboratories ; Ali Pinar, Sandia National Laboratories ; Jeremy D. Wendt, Sandia National Laboratorie ; Cliff Anderson-Bergman, Sandia National Laboratories
31: Analysis of the Australian Election Study Using Bayesian Quantile Regression Models Charles Au, University of Sydney ; S. T. Boris Choy, University of Sydney
32: AARP 2016 Master Model Building and Validation Renting Xu, AARP ; Jared Weiss, AARP, Inc ; Paul Maiste, Lityx,LLC ; Jerrod Begora, Lityx,LLC ; Roger Marcus, Lityx,LLC
The Speed portion will take place during Session 214530
 
 

269 * !
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-343
Bayesian Models for Population Mobility: Current Developments and Future Directions — Invited Papers
Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistical Learning and Data Science
Organizer(s): Adrian Dobra, University of Washington
Chair(s): Adrian Dobra, University of Washington
8:35 AM Statistical Methods for Ecological Networks Catherine Calder, The Ohio State University ; Christopher Browning, The Ohio State University
9:05 AM SAGA: Socially- and Geography-Aware Mobility Modeling Framework Abel Rodriguez, University of California, Santa Cruz
9:35 AM Predicting Travel Time Reliability Using Mobile Phone GPS Data Dawn Woodard, Uber Technologies, Inc.
10:05 AM Floor Discussion
 
 

288 * !
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-344
Advances in Nonlinear and Non-Gaussian Spatio-Temporal Dynamical Models for Environmental and Ecological Processes — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Statistics and the Environment
Organizer(s): Christopher Wikle, University of Missouri
Chair(s): Ali Arab, Georgetown Unversity
8:35 AM Process Convolution Approaches for Modeling Interacting Trajectories Henry Scharf, Colorado State University ; Mevin Hooten, Colorado State University ; Devin Johnson, NOAA Alaska Fisheries Science Center ; John Durban, NOAA Southwest Fisheries Science Center
8:55 AM Sparse Dynamic Spatio-Temporal Modeling Using Implied Advection Robert Richardson, Brinham Young University
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
9:35 AM Spatial-Temporal Modeling of Heavy Tailed Data Gabriel Huerta, University of New Mexico
9:55 AM Nonlinear Dynamical Spatio-Temporal Models and Their Efficient Estimation Christopher Wikle, University of Missouri
10:15 AM Floor Discussion
 
 

296
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-345
Bayesian Biostatistical Applications — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Stephen Loftus, Virginia Tech
8:35 AM Summarizing Diagnostic Test Accuracy via an Affinity-Based Measure Bradley Barney, Brigham Young University ; Miguel de Carvalho, University of Edinburgh ; Garritt L. Page, Brigham Young University
8:50 AM Determining Dose-Response Relationships by Bayesian Averaging of Multiple Models A. Lawrence Gould, Merck Research Laboratories
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
9:20 AM Semiparametric Bayes Inference of Gap-Time Distribution with Recurrent Event Data AKM Fazlur Rahman, University of Alabama at Birmingham ; Edsel Aldea Pena, University of South Carolina
9:35 AM A Bayesian Approach to Optimal Treatment Allocation Saptarshi Chatterjee, Northern Illinois University ; Sanjib Basu, University of Illinois At Chicago
9:50 AM A Joint Model Approach for Longitudinal Data with No Time Zero and Time-To-Event with a Competing Risk Sung Duk Kim, National Cancer Institute/NIH ; Olive Buhule, NICHD/NIH ; Paul S. Albert, National Cancer Institute/NIH
10:05 AM Floor Discussion
 
 

307 * !
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-344
Bayesian Computational Advances for Complex and Large-Scale Data — Invited Papers
Section on Statistical Computing , Section on Bayesian Statistical Science , Section on Statistical Learning and Data Science
Organizer(s): Naveen N Narisetty, University of Illinois at Urbana-Champaign
Chair(s): Alexander Giessing, University of Michigan
10:35 AM Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection Faming Liang, University of Florida
11:00 AM Multivariate Output Analysis for Markov Chain Monte Carlo Galin Jones, University of Minnesota ; Dootika Vats, University of Minnesota ; James Flegal, University of California, Riverside
11:25 AM High-Dimensional Bayesian Computation for Censored Quantile Regression Naveen N Narisetty, University of Illinois at Urbana-Champaign ; Xuming He, University of Michigan
11:50 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
12:15 PM Floor Discussion
 
 

332
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-322
SPEED: Section on Bayesian Statistical Science — Contributed Speed
Section on Bayesian Statistical Science , IMS
Chair(s): Nanhua Zhang, Cincinnati Children's Hospital Medical Center
10:35 AM 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
10:40 AM 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
10:45 AM 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
10:50 AM 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
10:55 AM Partioning Priors for Spatiotemporal Multiscale Models Andrew Hoegh, Montana State University
11:10 AM 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.
11:15 AM 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
11:30 AM Hyperparameter Selection for the Latent Dirichlet Allocation Model Wei Xia, University of Florida ; Hani Doss, University of Florida
11:45 AM Bayesian Clustering on Stiefel Manifolds Ritendranath Mitra ; Subhajit Sengupta, NorthShore University Health System ; Subhadip Pal, University of Louisville
11:50 AM Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis Shirley Liao ; Corwin Zigler, Harvard University
11:55 AM 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
12:10 PM Multi-Way Interacting Regression via Factorization Machines Mikhail Yurochkin ; Long Nguyen, University of Michigan ; Nikolaos Vasiloglou, Infor
12:15 PM Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models Dootika Vats, University of Minnesota
 
 

355
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Jessi Cisewski, Yale University
33: A Probabilistic Characterization of Shark Movement Using Location Tracking Data Samuel Ackerman
34: Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective Xuehan Ren
35: A Bayesian Approach to Factor Screening in Life Tests I-Tang Yu
37: A Conditionally Autoregressive-Spatial Model for Clustered Count Data Controlling for Two Classes of Neighbor Relations Jason Clague, University of California Los Angeles ; Thomas Belin, University of California, Los Angeles ; Vivek Shetty, University of California Los Angeles
38: Multivariate Distributions for Special Manifolds Michael Jauch, Duke University ; David Dunson, Duke University
39: Elicitation of Expert Knowledge of Phylogenies in the Form of Rooted Trees Xiting Yang, Food and Drug Administration ; Jay Kadane, Carnegie Mellon University
41: Multivariate Generalized Linear Mixed Model with Common Random Effects Ding Xiang, University of Minnesota ; Galin Jones, University of Minnesota
42: Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions Taha Monfared, csuf office of graduate studies ; Valerie Poynor, California State University, Fullerton
43: Combining Functional Data with Hierarchical Gaussian Process Models Valerie Poynor, California State University, Fullerton ; Stephan Munch, Southwest Fisheries Science Center
44: Joint Modeling of Multiple Longitudinal Ordinal Outcomes and Competing Risks: An Application to Parkinson's Disease Study Jun Zhang, UT Health Science Cener ; Shen Luo, UT School of Public Health
45: 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
46: 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
47: A Revisit to Nonlocal Method in High-Dimensional Subset Modeling Ho-Hsiang Wu, National Cancer Institute, NIH ; Yuanyuan Bian, University of Missouri
48: 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
 
 

Register 366
Tue, 8/1/2017, 12:30 PM - 1:50 PM CC-Ballroom II
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Elena Erosheva, University of Washington
TL18: Bayesian Demography: Probabilistic Population Reconstruction and Projection Adrian E. Raftery, University of Washington
 
 

392 *
Tue, 8/1/2017, 2:00 PM - 3:50 AM CC-327
What Do the Experts Believe? Leveraging Expert Knowledge to Develop Robust Informative Prior Belief Distributions to Aid Decision Making in Drug and Medical Device Development — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section
Organizer(s): Timothy H Montague, GlaxoSmithKline
Chair(s): Karen Price, Eli Lilly
2:05 PM What Do the Experts Believe? Translating Expert Knowledge and Judgment into a Quantitative Belief Distribution Timothy H Montague, GlaxoSmithKline
2:25 PM Expert Prior Elicitations in Practice Michael Sonksen, Eli Lilly and Company
2:45 PM Eliciting Priors and Tradeoffs to Assist in the Design of Clinical Studies Joseph Kahn, Novartis Pharmaceuticals
3:05 PM glmcmp: Generalized Linear Models with Conditional Means Priors in R David Kahle, Baylor University ; James Stamey, Baylor University ; Michael Sonksen, Eli Lilly and Company ; Michael W. Seaman, Jr., Baylor University ; Karen Price, Eli Lilly ; Fanni Natanegara, Eli Lilly and Company
5:25 PM Discussant: Shabnam Azadeh, Center for Devices and Radiological Health, FDA
3:45 PM Floor Discussion
 
 

404
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-326
Bayesian Clustering and Classification — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Elena Rantou, FDA/CDER
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
2:20 PM Longitudinal Joint Clustering via Dirichlet Process Mixture Model Hongmei Zhang, University of Memphis ; Shengtong Han, University of Chicago ; Hasan Arshad, University of Southampton
2:35 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
2:50 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
3:05 PM A Bayesian Approach to Latent Class Modeling with Ordinal Response Data Padma Sharma, UC Irvine
3:20 PM Bayesian Link Model for Ineffcient E ffects 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
3:35 PM Floor Discussion
 
 

422
Tue, 8/1/2017, 2:00 PM - 2:45 PM CC-Halls A&B
SPEED: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science , IMS
Chair(s): Jessi Cisewski, Yale University
1: 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
2: 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
3: 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
6: 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.
7: 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
9: Hyperparameter Selection for the Latent Dirichlet Allocation Model Wei Xia, University of Florida ; Hani Doss, University of Florida
11: Multi-Way Interacting Regression via Factorization Machines Mikhail Yurochkin ; Long Nguyen, University of Michigan ; Nikolaos Vasiloglou, Infor
12: Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models Dootika Vats, University of Minnesota
13: 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
14: Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis Shirley Liao ; Corwin Zigler, Harvard University
15: 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
16: Partioning Priors for Spatiotemporal Multiscale Models Andrew Hoegh, Montana State University
18: Bayesian Clustering on Stiefel Manifolds Ritendranath Mitra ; Subhajit Sengupta, NorthShore University Health System ; Subhadip Pal, University of Louisville
The Speed portion will take place during Session 214517
 
 

214961
Tue, 8/1/2017, 5:30 PM - 7:30 PM Offsite
Section on Bayesian Statistical Science Business Meeting and Mixer — Other Cmte/Business
Section on Bayesian Statistical Science
Chair(s): Sudipto Banerjee, UCLA Fielding School of Public Health
 
 

452 * !
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-349
Methodological and Computational Advances in Bayesian Design for Scientific and Industrial Experimentation — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Physical and Engineering Sciences
Organizer(s): Dave Woods, University of Southampton
Chair(s): Dave Woods, University of Southampton
8:35 AM Bayesian A-Optimal Design of Experiment with Quantitative and Qualitative Responses Lulu Kang, Illinois Institute of Technology-Department of Applied Mathematics
8:55 AM Designing Computer Experiments to Maximize Prediction Accuracy Erin Leatherman, West Virginia University ; Angela Dean, The Ohio State University ; Thomas Santner, The Ohio State University
9:15 AM Sequential Optimal Experimental Design Using Adaptive Transport Maps Xun Huan, Sandia National Laboratories ; Youssef Marzouk, Massachusetts Institute of Technology
9:35 AM Discussant: Max D. Morris, Iowa State University
9:55 AM Floor Discussion
 
 

470
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-350
Bayes Theory and Foundations — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Daniel Kowal, Cornell University
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
8:50 AM Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions Kalimuthu Krishnamoorthy, Univ of Louisiana
9:05 AM Approximate Bayesian Inference via Iterated Random Functions Aritra Guha, University of Michigan ; Long Nguyen, University of Michigan
9:20 AM Observed Prior Information David Jones, SAMSI / Duke ; Yang Chen, Harvard University ; Xiao-Li Meng, Harvard University
9:35 AM Robust Subjective Bayesian Hypothesis Testing by Calibrating Prior Probabilities Dan Spitzner, University of Virginia
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
10:05 AM Floor Discussion
 
 

477 *
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-336
Bayesian Methods for High-Dimensional Inference — Invited Papers
IMS , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Statistical Learning and Data Science
Organizer(s): David Dunson, Duke University
Chair(s): David Dunson, Duke University
10:35 AM Clustering High-Dimensional Data Using Summary Statistics Valen Johnson, Texas A&M University
11:00 AM Bayesian Partition Logistic Regression Models Jun Liu, Harvard University
11:25 AM High-Dimensional Linear Regression via the R-Squared Induced Dirichlet Decomposition Prior Howard Bondell, NC State University ; Brian Reich, NCSU ; Yan Dora Zhang, Johns Hopkins
11:50 AM Nonparametric Maximum Likelihood Approximate Message Passing — Lee Dicker, Rutgers University ; Ruijun Ma, Rutgers University
12:15 PM Floor Discussion
 
 

485
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-325
Highlights from Bayesian Analysis — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Bruno Sanso, University of California Santa Cruz
Chair(s): Ming-Hui Chen, University of Connecticut
10:35 AM Bayesian Estimation of Principal Components for Functional Data Adam Justin Suarez, Monsanto Company ; Subhashis Ghosal, North Carolina State University
11:00 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
11:25 AM Adaptive Shrinkage in Polya Tree Type Models Li Ma, Duke University
11:50 AM Multivariate Stochastic Process Models for Correlated Responses of Mixed Type — Tony Pourmohamad, Genentech ; Herbert Lee, University of California, Santa Cruz
12:15 PM Floor Discussion
 
 

493 * !
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-329
Bayesian Model-Based and Rule-Based Dose Escalation Designs in Oncology — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section
Organizer(s): Charles Liu, Cytel Inc.
Chair(s): Erik Pulkstenis, Medimmune
10:35 AM A Case Study Exploration of MTPI and Proposed Methods to Expand to Combination Drug Development Matthew Gribbin, MedImmune ; Nairouz Elgeioushi, MedImmune
10:55 AM Alternative Dose Escalation Rules for Dual Agent Designs Charles Liu, Cytel Inc. ; Yannis Jemiai, Cytel Inc. ; Sam Hsiao, Cytel, Inc ; Hrishikesh Kulkarni, Cytel Inc.
11:15 AM Combination Dose Finding in Phase I Oncology Trials: a Co-Data Approach Niladri Roy Chowdhury, Novartis Oncology Pharmaceuticals ; Satrajit Roychoudhury, Pfizer Inc
11:35 AM Model-based Design for the Early Development of Cancer Immunotherapy Combinations Nolan Wages, University of Virgina
11:55 AM Discussant: Guan Xing, Gilead
12:15 PM Floor Discussion
 
 

512
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-323
Bayesian Model Selection — Contributed Papers
Section on Bayesian Statistical Science , Section on Statistical Learning and Data Science
Chair(s): Chris Saunders
10:35 AM Inflated Values Selection Method on Multiple-Inflated Poisson Model Qiuya Li ; Kwok Fai Geoffrey TSO, City University of Hong Kong ; Yichen Qin, University of Cincinnati ; Yang Li, Renmin University of China
10:50 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
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
11:20 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
11:35 AM Bayesian Model Selection in the Presence of Heteroscedasticity in Linear Models Thomas Metzger, Virginia Tech ; Christopher T. Franck, Virginia Tech Department of Statistics
11:50 AM A Study of Delay Discounting Using Bayesian Model Selection Christopher T. Franck, Virginia Tech Department of Statistics
12:05 PM Bayesian Regression with Proximal Algorithm Lei Sun, University of Chicago ; Nicholas Polson, University of Chicago
 
 

Register 538
Wed, 8/2/2017, 12:30 PM - 1:50 AM CC-Ballroom II
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Elena Erosheva, University of Washington
WL17: Bayesian Inference in Surveys Trivellore Raghunathan, University of Michigan School of Public Health
 
 

552 !
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-350
Recent Developments in Latent Variable Network Models: 15 Years After the Work of 'Latent Space Approaches for Social Network Analysis' — Invited Papers
Social Statistics Section , General Methodology , Section on Bayesian Statistical Science
Organizer(s): Xiaoyue Niu, Penn State University
Chair(s): Xiaoyue Niu, Penn State University
2:05 PM Latent Space Models for Dynamic Bipartite Social Networks Adrian E. Raftery, University of Washington
2:30 PM Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems Mark Stephen Handcock, University of California - Los Angeles ; Joshua D. Embree, RAND Corporation
2:55 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
3:20 PM Discussant: Peter Hoff, Duke University
3:45 PM Floor Discussion
 
 

563 * !
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-349
Multiple Imputation for Measurement Errors and Other Structured Patterns of Missing Data — Topic Contributed Papers
Survey Research Methods Section , Section on Bayesian Statistical Science , Biometrics Section
Organizer(s): Philipp Gaffert, GfK SE
Chair(s): Hans Kiesl, Ostbayerische Technische Hochschule, Regensburg
2:05 PM Multiple Imputation for Handling Measurement Errors Trivellore Raghunathan, University of Michigan School of Public Health
2:25 PM Data Fusion for Correcting Measurement Errors Maria DeYoreo ; Jerry Reiter, Department of Statistical Science, Duke University ; Tracy Schifeling, Duke
2:45 PM Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence Volker Bosch, GfK SE ; Philipp Gaffert, GfK SE
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
3:25 PM How Suited Is Propensity Score Matching for Combining Data from Different Sources? Florian Meinfelder, Universitaet Bamberg
3:45 PM Floor Discussion
 
 

581
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-325
High-Throughput Biological Data Analyzed with Bayesian Methods — Contributed Papers
Section on Bayesian Statistical Science , Section on Statistics in Genomics and Genetics
Chair(s): Inyoung Kim, Virginia Tech
2:05 PM Bayesian Analysis of Continuous Time Markov Chains with Applications to Phylogenetics Tingting Zhao, University of British Columbia
2:20 PM A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction Anwesha Bhattacharyya ; Yves Atchade, University of Michigan
2:35 PM Batch Effects Correction with Unknown Subtypes Xiangyu Luo, The Chinese University of Hong Kong ; Yingying Wei, The Chinese University of Hong Kong
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
3:05 PM Bayesian Multiple Testing for Binary Data Emrah Gecili ; Siva Sivaganesan, University of Cincinnati
3:20 PM Floor Discussion
 
 

597 * !
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-331/332
New Development for Causal Inference in Health Policy Statistics: A Bayesian Perspective — Invited Papers
Health Policy Statistics Section , Section on Bayesian Statistical Science
Organizer(s): Bo Lu, The Ohio State University
Chair(s): Bo Lu, The Ohio State University
8:35 AM Mortality Rate Estimation and Standardization for Public Reporting: Medicare's Hospital Compare Edward I. George, Wharton, University of Pennsylvania ; Veronika Rockova, University of Chicago ; Paul Rosenbaum, University of Pennsylvania ; Ville Satopaa, INSEAD ; Jeffrey Silber, University of Pennsylvania
9:00 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
9:25 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
9:50 AM Discussant: Alan M. Zaslavsky, Harvard University Medical School
10:10 AM Floor Discussion
 
 

603 * !
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-327
The Importance of Statistical Analysis in Energy Modeling — Topic Contributed Papers
Government Statistics Section , Committee on Energy Statistics , Section on Bayesian Statistical Science
Organizer(s): Janice Lent, U.S. Energy Information Administration
Chair(s): David Banks, Duke University
8:35 AM Hurdle Models for Residential Solar Photovoltaic Systems Installations Janice Lent, U.S. Energy Information Administration
8:55 AM Determinants of Retail Electricity Prices Lori Aniti, U.S. Energy Information Administration
9:15 AM Determinants of Household Use of Energy Star Appliances Behjat Hojjati, U.S. Energy Information Administration
9:35 AM Deriving Estimates for the Energy Consumption of U.S. Residential Space Conditioning Using Seasonal Datasets William Lawson, U.S. Energy Information Administration (EIA)
9:55 AM Bayesian Dynamic Linear Models for Spot Prices of Hydrocarbon Gas Liquids Peter Gross, U.S. Energy Information Administration
10:15 AM Floor Discussion
 
 

615 *
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-316
Bayesian Methods for Complex Survey Designs and Data — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Nathan Cruze, USDA-NASS
Chair(s): Linda J. Young, USDA National Agricultural Statistics Service
8:35 AM 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
8:55 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
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
9:35 AM A Model-Based Approach to Crop Yield Forecasting Nathan Cruze, USDA-NASS ; Habtamu Benecha, USDA National Agricultural Statistics Service
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
10:15 AM Floor Discussion
 
 

623
Thu, 8/3/2017, 8:30 AM - 10:20 PM CC-311
Bayesian Variable Selection — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Lei Sun, University of Chicago
8:35 AM Variable Selection in Bayesian Kernel Machine Models and Its Applications Sounak Chakraborty, University of Missouri, Columbia
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
9:05 AM Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions Joyee Ghosh, University of Iowa
9:20 AM High-Dimensional Sparse Logistic Regression with Fractional Likelihoods Satwik Acharyya, Texas A & M University ; Anirban Bhattacharya, Texas A&M University
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
9:50 AM Floor Discussion
 
 

638
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-325
Recent Development of Bayesian Methods in Survey Sampling — Invited Papers
Survey Research Methods Section , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Yajuan Si, University of Wisconsin-Madison
Chair(s): Joseph Sedransk, University of Maryland
10:35 AM Bayesian Model Averaging in Multiple Imputation Under Informative Sampling Gyuhyeong Goh, Kansas State University ; Jae-kwang Kim, Iowa State University
11:05 AM Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression Qixuan Chen, Columbia University ; Yutao Liu, Columbia University
11:35 AM Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys Yajuan Si, University of Wisconsin-Madison
Discussant: Jae-kwang Kim, Iowa State University
12:05 PM Floor Discussion
 
 

639 * !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-314
Influential Observations: Detection and Modeling — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , IMS
Organizer(s): Mario Peruggia, The Ohio State University
Chair(s): Mario Peruggia, The Ohio 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
11:00 AM Residuals and Influence in Bayesian Ensemble Models Robert McCulloch, Arizona State University ; Matthew Pratola, The Ohio State University
11:25 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
11:50 AM Discussant: Dennis Cook, University of Minnesota
12:10 PM Floor Discussion
 
 

656
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-311
Introducing Bayesian Statistics at Courses of Various Levels — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Statistical Education
Organizer(s): Jingchen (Monika) Hu, Vassar College
Chair(s): Jared S Murray, Carnegie Mellon 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
10:55 AM Teaching Bayes: The Essential Parts — Rebecca C. Steorts, Duke University ; Brenda Betancourt, Duke University
11:15 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
11:35 AM Discussant: Jingchen (Monika) Hu, Vassar College
11:55 AM Discussant: Dalene K. Stangl, Duke University
12:15 PM Floor Discussion
 
 
 
 
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