Online Program Home
  My Program
Legend:
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details


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
 
 

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
 
 

83
Sun, 7/30/2017, 8:30 PM - 10:30 PM CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1: Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO) — Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2: A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3: 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
4: 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
5: 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
6: The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression Wei Sun, Fred Hutchinson Cancer Research Center
7: Rerandomization: a Flexible Framework for Experimental Design Kari Lock Morgan, Penn State University
8: IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9: Detecting Differential Gene Expression by Single-Cell RNA Sequencing Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10: Statistical Science and Policy at the EPA Elizabeth Mannshardt, US Environmental Protection Agency
11: Approximate Message Passing Algorithms for High-Dimensional Regression Cynthia Rush, Columbia University
12: Generalized Fiducial Inference for High-Dimensional Data Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13: The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14: Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15: R Package TDA for Statistical Inference on Topological Data Analysis Jisu Kim, Carnegie Mellon University
16: Teaching a Large, Project-Based Statistical Consulting Class Emily Griffith, NC State University
17: Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential! Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18: The Geometry of Synchronization Problems and Learning Group Actions Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19: Sufficient Markov Decision Processes with Alternating Deep Neural Networks Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20: Optimal Dynamic Treatment Regimes Using Decision Lists Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21: Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression — Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22: Computer Vision Meets Television Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23: Generalized Fiducial Inference for Nonparametric Function Estimation Randy C.S. Lai, University of Maine
24: A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25: Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26: Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27: Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments Alexandra Chouldechova, Carnegie Mellon University
28: I Ran a Nonresponse Follow-Up Survey; Now What Do I Do? Phillip Kott, RTI
 
 

108 * !
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-337
Junior Research in Bayesian Modeling for High-Dimensional Data — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Valerie Poynor, California State University, Fullerton
Chair(s): James Johndrow, Stanford University
8:35 AM Uncertainty Quantification for Network Regression Frank W Marrs, Colorado State University ; Bailey Fosdick, Colorado State University ; Tyler McCormick, University of Washington
8:55 AM Scalable Approximations of Marginal Posteriors in Variable Selection Willem Van Den Boom, Duke University ; Galen Reeves, Duke University ; David Dunson, Duke University
9:15 AM Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data Roberta De Vito, Princeton
9:35 AM Bayesian Multiscale Spatial Models for Big Data Raj Guahniyogi, UCSC
9:55 AM Cancer Phylogenies and Nonparametric Clustering Jeffrey Miller, Harvard School of Public Health ; Scott Carter, Dana-Farber Cancer Institute
10:15 AM Floor Discussion
 
 

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
 
 

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
 
 

327
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-324
Bayesian Model Selection — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Vivekananda Roy, Iowa State University
Chair(s): Jyotishka Datta, University of Arkansas, Fayetteville
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
10:55 AM On the Interpretation of Ensemble Classifiers in Terms of Bayes Classifiers — Tri Le, University of Nebraska ; Bertrand Clarke, University of Nebraska
11:15 AM Model Misspecification in ABC: Consequences and Diagnostics David Frazier
11:35 AM Bayesian Model Assessment and Selection Using Bregman Divergence Dipak K Dey, university of connecticut ; Gyuhyeong Goh, Kansas State University
11:55 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
 
 

636 !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-315
Advances in Bayesian Inference with Intractable Likelihood — Invited Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Minh-Ngoc Tran, University of Sydney Business School
Chair(s): James O'Malley, Geisel School of Medicine at Dartmouth
10:35 AM Locally-Interacting Particle Filters: Statistical Trade-Offs and Stability Alexandre Thiery, National University of Saingpore ; Deborshee Sen, National University of Singapore
11:00 AM Computationally Efficient Bayesian Estimation of High-Dimensional Copulas with Discrete and Mixed Margins Robert Kohn, University of New South Wales
11:25 AM Exact Subsampling MCMC Mattias Villani, Linkoping University
11:50 AM Block-Wise Pseudo-Marginal Metropolis-Hastings Minh-Ngoc Tran, University of Sydney Business School
12:15 PM 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
 
 
 
 
Copyright © American Statistical Association