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245 Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-204C
Bayesian Models for Clustering and Latent Allocation — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Satwik Acharyya, University of Michigan
8:35 AM Bayesian Regression Modeling of 0-1 Data Having Boundary Values
Eugene D Hahn, Salisbury University
8:50 AM Bayesian Hierarchical Latent Class Models for Grouped Responses
Mengbing Li, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Briana Joy Kennedy Stephenson, Harvard T.H. Chan School of Public Health
9:05 AM Supervised Bayesian Nonparametric Clustering Techniques for Survey Data
Stephanie M. Wu, Harvard T.H. Chan School of Public Health; Briana Joy Kennedy Stephenson, Harvard T.H. Chan School of Public Health
9:20 AM Bayesian Modeling of Co-Occurrence Microbial Interaction Networks
Tejasv Bedi, University of Texas at Dallas; Michael Neugent, University of Texas at Dallas; Xiaowei Zhan, The University of Texas Southwestern Medical Center; Nicole De Nisco, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
9:35 AM Search Algorithms and Loss Functions for Bayesian Feature Allocation Models
Robert Jacob Andros, Brigham Young University; David B. Dahl, Brigham Young University; Devin Johnson, Duke University
9:50 AM Graph Product Partition Models
Changwoo J Lee, Texas A&M University; Huiyan Sang, Texas A&M University
10:05 AM Adversarial Hidden Markov Models with Batch Data
Tahir Ekin, Texas State University; William Nick Caballero, The United States Air Force Academy; Roi Naveiro, ICMAT-CSIC; David Rios Insua, ICMAT-CSIC