Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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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

112	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Savage Award Session — Invited Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Maria De Iorio, University College London
Chair(s): Li Ma, Duke University
1:05 PM	Bayesian Dynamic Modeling and Forecasting of Count Time Series Lindsay Berry, Berry Consultants
1:30 PM	Machine Learning Using Approximate Inference: Variational and Sequential Monte Carlo Methods Christian Andersson Naesseth, Columbia University
1:55 PM	Recent Advances in Bayesian Probabilistic Numerical Integration Francois-Xavier Briol, University College London
2:20 PM	Factor regression for dimensionality reduction and data integration techniques with applications to cancer data Alejandra Avalos Pacheco, Harvard Medical School
2:45 PM	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

432 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Withdrawn - Case Studies in Bayesian Methods for Health Policy Research — Invited Papers
Health Policy Statistics Section, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Mariel M Finucane, Mathematica
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

JSM 2020 Online Program

Activity Details

American Statistical Association