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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
Xuan Cao, University of Cincinnati; Kyoungjae Lee, Inha University
10:45 AM Probabilistic Community Detection with Unknown Number of Communities
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