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28 * !
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Mon, 8/3/2020,
10:00 AM -
11:50 AM
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Virtual
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Advances in Bayesian Theory and Methods on Network Data Modeling — Topic Contributed Papers
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Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, International Society for Bayesian Analysis (ISBA)
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Organizer(s): Yanxun Xu, Johns Hopkins University
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Chair(s): Guanyu Hu, University of Connecticut
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10:05 AM
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Optimal Bayesian Estimation for Low-Rank Random Graphs
Fangzheng Xie, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
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10:25 AM
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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
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10:45 AM
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Probabilistic Community Detection with Unknown Number of Communities
Junxian Geng, Boehringer Ingelheim; Debdeep Pati, Texas A&M University; Anirban Battacharya, Texas A&M University
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11:05 AM
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Optimization for Bayesian Inference
Leo Duan, University of Florida
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11:25 AM
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Discussant: Yanxun Xu, Johns Hopkins University
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11:45 AM
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Floor Discussion
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