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
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