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308 * ! Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-150A
Highlights in Bayesian Analysis: Innovations in Bayesian Learning — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science
Organizer(s): Michele Guindani, University of California, Irvine
Chair(s): Veronica J Berrocal, University of California
2:05 PM Informative Bayesian Neural Network Priors for Weak Signals
Tianyu Cui, Aalto University; Aki Havulinna, Finnish Institute for Health and Welfare (THL); Pekka Marttinen, Aalto University; Samuel Kaski, Aalto University and University of Manchester
2:30 PM Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference
Max Goplerud, University of Pittsburgh
2:55 PM Bayesian Survival Tree Ensembles with Submodel Shrinkage
Antonio R. Linero, University of Texas at Austin; Piyali Basak, Merck Pharmaceuticals; Yinpu Li, Florida State University; Debajyoti Sinha, Florida State University
3:20 PM Bayesian Hierarchical Stacking: All Models Are Wrong, but Some Are Somewhat Useful
Yuling Yao, Flatiron Institute; Gregor Pirš, University of Ljubljana; Aki Vehtari, Aalto University; Andrew Gelman, Columbia University
3:45 PM Floor Discussion