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* = applied session ! = JSM meeting theme
Activity Details
9 * !
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Bayesian Data Science: The New Frontier — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Sam Behseta , California State University, Fullerton
Chair(s): Sam Behseta , California State University, Fullerton
10:05 AM
Bayesian Nonparametric Modeling for Hawkes Processes
Athanasios Kottas, University of California, Santa Cruz ; Hyotae Kim, University of California, Santa Cruz
10:35 AM
Bayesian Data Science Approaches in Biomedical Imaging
Michele Guindani, University of California Irvine
11:05 AM
Addressing Sampling Bias in Electronic Health Records (EHR): A Point Process Modeling Framework
Veronica J Berrocal, University of California, Irvine ; Marco Benedetti, Nationwide Children's Hospital; Bhramar Mukherjee, University of Michigan
11:35 AM
Floor Discussion
28 * !
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Advances in Bayesian Theory and Methods on Network Data Modeling — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Statistical Learning and Data Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Yanxun Xu, Johns Hopkins University
Chair(s): Guanyu Hu, University of Connecticut
10:05 AM
Optimal Bayesian Estimation for Low-Rank Random Graphs
Fangzheng Xie, Johns Hopkins University ; Yanxun Xu, Johns Hopkins University
10:25 AM
Joint Bayesian Variable and DAG Selection Consistency for High-Dimensional Regression Models with Network-Structured Covariates
Presentation
Xuan Cao, University of Cincinnati ; Kyoungjae Lee, Inha University
10:45 AM
Probabilistic Community Detection with Unknown Number of Communities
Presentation
Junxian Geng, Boehringer Ingelheim ; Debdeep Pati, Texas A&M University; Anirban Battacharya, Texas A&M University
11:05 AM
Optimization for Bayesian Inference
Leo Duan, University of Florida
11:25 AM
Discussant: Yanxun Xu, Johns Hopkins University
11:45 AM
Floor Discussion
33
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Junior Research in Methods for Integrating Heterogeneous Data: From Clustering to Factor Analysis — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Roberta De Vito, Brown University
Chair(s): Roberta De Vito, Brown University
10:05 AM
VC-BART: Bayesian Trees for Varying Coefficients
Sameer Deshpande, CSAIL, MIT ; Ray Bai, University of Pennsylvania; Cecilia Balocchi, University of Pennsylvania; Jennifer E Starling, The University of Texas at Austin
10:25 AM
Clustering Methods to Empirically Derive Dietary Patterns in the United States
Presentation
Briana Stephenson, Harvard University
10:45 AM
Prior-Driven Cluster Allocation in Bayesian Mixture Models
Presentation
Sally Paganin, University of California, Berkeley ; Amy Herring, Duke University; Adnrew Olshan, UNC-Chapel Hill; David Dunson, Duke University
11:05 AM
Bayesian Factor Analysis for High-Dimensional Clustering
Presentation
Noirrit Chandra, Duke University ; David Dunson, Duke University; Antonio Canale, Universita degli Studi di Padova
11:25 AM
Bayesian Combinatorial Multi-Study Factor Analysis with the Indian Buffet Process
Presentation
Isabella Grabski, Harvard University ; Roberta De Vito, Brown University; Lorenzo Trippa, Harvard School of Public Health; Giovanni Parmigiani, Harvard T.H. Chan School of Public Health
11:45 AM
Floor Discussion
126 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Recent Advances in Bayesian Mixed Membership Modeling for Network, Longitudinal, and Multivariate Data — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA), IMS, Text Analysis Interest Group
Organizer(s): Elena A Erosheva, University of Washington ; Gongjun Xu, University of Michigan
Chair(s): Tanzy Love, University of Rochester
1:05 PM
Exponential Family Mixed Membership Models for Soft Clustering of Multivariate Data
Brendan Murphy, University College Dublin ; Arthur White, Trinity College Dublin
1:25 PM
A New Class of Mixed Membership Models for Educational Testing: Partial-Mastery Cognitive Diagnosis Models
Elena A Erosheva, University of Washington ; Zhuoran Shang , University of Michingan; Gongjun Xu, University of Michigan
1:45 PM
Multilevel Mixed Membership Stochastic Block Models
Tracy Sweet
2:05 PM
Longitudinal Structural Mixed Membership Models for Estimating Latent Health Trajectories Using Administrative Claims Data
Zhenke Wu, University of Michigan ; Mengbing Li, University of Michigan
2:25 PM
Detectability Limits in Dynamic Networks with Link Persistency
Amir Ghasemian
2:45 PM
Floor Discussion
165
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Bayesian Methods in Structured Data and High-Dimensional Problem: Some Recent Advances — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science, International Indian Statistical Association
Organizer(s): Nilabja Guha, University of Massachusetts, Lowell
Chair(s): Arnab K Maity, Pfizer
10:05 AM
Empirical Priors for Inference on High-Dimensional Structured Parameters
Ryan Martin, North Carolina State University
10:25 AM
New Directions in Bayesian Change-Point Detection in High Dimension
Nilabja Guha, University of Massachusetts, Lowell
10:45 AM
Bayesian Sparse Signal Recovery: Gaussian Models and Beyond
Jyotishka Datta, University of Arkansas
11:05 AM
Covariate Informed Multivariate Density Deconvolution for Structured Dietary Recall Data
Abhra Sarkar, University of Texas at Austin
11:25 AM
Variational Bayes for Inverse Problems
Presentation
Anirban Battacharya, Texas A&M University
11:45 AM
Floor Discussion
292
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Nonparametric and High-Dimensional Bayes: Uncertainty Quantification, Computation, and Posterior Contraction — Invited Papers
IMS , International Society for Bayesian Analysis (ISBA)
Organizer(s): Aad van der Vaart, Leiden University
Chair(s): Aad van der Vaart, Leiden University
10:05 AM
Convergence Rates of Variational Bayes and Empirical Bayes: A Unified Analysis
Chao Gao, University of Chicago
10:30 AM
Bayesian Trees Are Spatially Adaptive
Veronika Rockova, University of Chicago ; Judith Rousseau, Oxford University
10:55 AM
Posterior Convergence Rate and Sharp Minimaxity for Sparse Sequences
Ismaël Castillo, Sorbonne University
11:20 AM
Discussant: Edward George, University of Pennsylvania
11:40 AM
Floor Discussion
385 !
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Recent Advances in Bayesian Methods for the Analysis of Microbiome Count Data — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA), Biometrics Section
Organizer(s): Qiwei Li, The University of Texas at Dallas
Chair(s): Qiwei Li, The University of Texas at Dallas
1:05 PM
Multinomial Matrix Factorization for Microbiome Data
Yang Ni, Texas A&M University
1:25 PM
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study
Kurtis Shuler, UCSC; Juhee Lee, UCSC ; Irene Chen, University of California Santa Barbara; Samul Verbanic, University of California Santa Barbara
1:45 PM
HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity
Shuang Jiang, Southern Methodist University
2:05 PM
Efficient Bayesian Estimation of Microbiome Association Networks
Christine B. Peterson, The University of Texas MD Anderson Cancer Center ; Nathan Osborne, Rice University; Marina Vannucci, Rice University
2:25 PM
Discussant: Xiaowei Zhan, The University of Texas Southwestern Medical Center
2:45 PM
Floor Discussion
400 * !
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Multiple Aspects of Bayesian Model Selection and Variable Selection in Linear and Nonlinear Models — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA), International Indian Statistical Association, Text Analysis Interest Group
Organizer(s): Arnab K Maity, Pfizer
Chair(s): Arnab K Maity, Pfizer
1:05 PM
High-Dimensional Bayesian Model Averaging for Gene Network Inference
Adrian Raftery, University of Washington
1:25 PM
Generative modeling of compositional count data based on the Dirichlet-tree model with application to microbiome studies
Li Ma, Duke University ; Jialiang Mao, Duke University
1:45 PM
Bayesian Hierarchical Modeling for Process Optimization
Min Wang, The University of Texas at San Antonio ; Linhan Ouyang, Nanjing University of Aeronautics and Astronautics; Chanseok Park, Pusan National University; Yan Ma, Nanjing University of Science and Technology; YiZhong Ma, Nanjing University of Science and Technology
2:05 PM
Probabilistic Machine Learning for Uncertainty Quantification of Neutron Star Radius
Debdeep Pati, Texas A&M University ; Anirban Battacharya, Texas A&M University; Yeunhwan Lim, Max Planck Institut für Kernphysik, Technische Universität Darmstadt; Jeremy Holt, Texas A&M University
2:25 PM
Floor Discussion
420 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Highlights from "Bayesian Analysis": Bayesian Methods for the Public Good — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): Michele Guindani, University of California Irvine
Chair(s): Michele Guindani, University of California Irvine
10:05 AM
Additive Multivariate Gaussian Processes for Joint Species Distribution Modeling with Heterogeneous Data
Presentation
Jarno Vanhatalo, University of Helsinki ; Marcelo Hartmann, University of Helsinki; Lari Veneranta, Natural Resources Institute Finland
10:30 AM
Efficient Bayesian Model Choice for Partially Observed Processes: With Application to an Experimental Transmission Study of an Infectious Disease
S. E. F. Spencer, University of Warwick ; Trevelyan J McKinley, University of Exeter; Peter Neal, Lancaster University; Andrew Conlan, University of Cambridge; Laurence Tiley, University of Cambridge
10:55 AM
Bayesian Approaches to Infer Symptom Associations in Verbal Autopsies
Zehang Richard Li, Yale University
11:20 AM
Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis
Kurtis Shuler, UCSC ; Juhee Lee, UCSC; Marilou Sison-Mangus, UCSC
11:45 AM
Floor Discussion
534 * !
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
Bayesian Inference with Complex Biomedical Systems — Invited Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Jie He, School of Public Health, University of Michigan; Gary L Rosner, Johns Hopkins University
Chair(s): Jie He, School of Public Health, University of Michigan
1:05 PM
Quantifying HIV Transmission Flow from Cross-Sectional Viral Phylogenetic Deep Sequence Data: A Population-Based Study in Rakai, Uganda
Presentation
O. Ratmann, Imperial College London ; X. Xi, Imperial College London; S. E. F. Spencer, University of Warwick; Joseph Kagaayi, Rakai Health Sciences Program; M. Kate Grabowski, Johns Hopkins School of Medicine; on behalf of, Rakai Health Sciences Program and PANGEA-HIV; Matthew Hall, Big Data Institute, University of Oxford
1:35 PM
Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model
Tianjian Zhou, University of Chicago
2:05 PM
Probabilistic Modeling in Functional Data Analysis: Ideas and Applications
Donatello Telesca, University of Califonia, Los Angeles
2:35 PM
Discussant: Jian Kang, University of Michigan
2:45 PM
Floor Discussion
554 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Recent Challenges and Developments in Bayesian Big Data Inference and Computation with Public Database — Invited Papers
ENAR , Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Dipak K Dey, University of Connecticut
Chair(s): Dipak K Dey, University of Connecticut
3:05 PM
Bayesian Inference and Monte Carlo Methods for Streaming Data
Gyuhyeong Goh, Kansas State University ; Dipak K Dey, University of Connecticut
3:30 PM
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Anindya Bhadra, Purdue University ; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago
3:55 PM
Projection-Based Approach to Alleviate Spatial Confounding in Spatial Frailty Models
Marcos Oliveira Prates, Universidade Federal de Minas Gerais ; Douglas Azevedo, Universidade Federal de Minas Gerais; Dipankar Bandyopadhyay, Virginia Commonwealth University
4:20 PM
Discussant: Sudipto Banerjee, UCLA School of Public Health
4:45 PM
Floor Discussion
557
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Current Trends in Bayesian Survey Sampling: A Celebration of Glen Meeden's 80th Birthday — Invited Papers
Survey Research Methods Section , International Association of Survey Statisticians, International Society for Bayesian Analysis (ISBA)
Organizer(s): Malay Ghosh, University of Florida
Chair(s): Malay Ghosh, University of Florida
3:05 PM
Bayesian inference using survey sampling data when sampling is informative
Presentation
Joseph Sedransk, University of Maryland and Case Western Reserve University
3:30 PM
A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
Gauri Datta, U.S. Census Bureau/University of Georgia
3:55 PM
A Bayesian Approach to Linking a Survey and a Census
Bal Nandram, Worcester Polytechnic Institute
4:20 PM
On the use of estimated Bayes factors in latent-class regression modeling
Joseph L. Schafer, U.S. Census Bureau
4:45 PM
Floor Discussion
585
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Bayesian Neural Networks — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Text Analysis Interest Group
Organizer(s): Deborshee Sen, Duke University
Chair(s): Rudradev Sengupta, Janssen Pharmaceutical Companies of Johnson and Johnson, Beerse, Belgium
3:05 PM
Bayesian Dimension Reduction Using Neural Networks
Presentation
Deborshee Sen, Duke University ; David Dunson, Duke University; Theodore Papamarkou, Oak Ridge National Laboratory
3:25 PM
Bayesian Deep Net GLM and GLMM
Robert Kohn, University of New South Wales; Minh Ngoc Tran, The University of Sydney
3:45 PM
Challenges in Bayesian Inference via Markov Chain Monte Carlo for Neural Networks
Theodore Papamarkou
4:05 PM
Practical Bayesian Inference for Shallow CNNs in NLP
Jacob Hinkle, Oak Ridge National Lab ; Devanshu Agrawal, Oak Ridge National Lab; Theodore Papamarkou, Oak Ridge National Laboratory
4:25 PM
Floor Discussion