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333 Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-141
Advances in Bayesian Modeling — Contributed Papers
International Society for Bayesian Analysis (ISBA)
Chair(s): Athanasios Kottas, University of California, Santa Cruz
2:05 PM Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
Rajarshi Guhaniyogi, Texas A & M University; Cheng Li, National University of Singapore; Terrance D Savitsky, U.S. Bureau of Labor Statistics; Sanvesh Srivastava, Department of Statistics and Actuarial Science
2:20 PM Blocked Gibbs Sampling for Improved Convergence in Mixture Models
David Swanson, University of Oslo
2:35 PM Functional Partial Membership Models
Nicholas Marco, University of California, Los Angeles; Damla Senturk, University of California, Los Angeles; Donatello Telesca, University of California, Los Angeles
2:50 PM Objective Bayesian Model Selection for Generalized Linear Mixed Models
Marco Ferreira, Virginia Tech; Erica May Porter, Virginia Tech; Christopher Franck, Virginia Tech; shuangshuang xu, virginia tech
3:05 PM Multilevel Network Recovery Through Nonparametric Kernel Machine Regression Adapted for Correlated Variable Selection
Inyoung Kim, Virginia Tech; Mohamed Salem, Virginia Polytechnic Institute an State University
3:20 PM Intuitive Joint Priors for Bayesian Multilevel Models: The R2D2M2 Prior
Javier Enrique Aguilar Romero, University of Stuttgart (Cluster of Excellence SimTech); Paul-Christian B├╝rkner, University of Stuttgart (Cluster of Excellence SimTech)
3:35 PM Bayesian Nonparametric Modeling for Spatial Hawkes Processes
Chunyi Zhao, University of California, Santa Cruz; Athanasios Kottas, University of California, Santa Cruz