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* = applied session       ! = JSM meeting theme

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335 * ! Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Spatial Smoothing and Bayesian Uncertainty Quantification — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Xu Chen, Duke University
Bayesian Multi-Regional Clinical Trials Using Model Averaging
Nathan W. Bean, University of North Carolina at Chapel Hill; Matthew A. Psioda, University of North Carolina; Joseph G. Ibrahim, University of North Carolina at Chapel Hill
Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
Philip White, Brigham Young University
Reliable Rates and the Effect of Prior Information with an Application to the County Health Rankings and Roadmaps Program
Guangzi Song, Drexel University; Harrison Quick, Drexel University; Loni Tabb, Drexel University
Computational Methods in Bayesian Disease Mapping: An Application to Chronic Lower Respiratory Disease (CLRD) Mortality in the U.S., 2000-2017
Diba Khan, CDC; John Pleis, National Center for Health Statistics; Elizabeth Arias, CDC/NCHS; Maria Dolores Ugarte, Public University of Navarre Pamplona, Spain; Aritz Adin, Public University of Navarre Pamplona, Spain
Learning Human Acquisition Preferences Through Inverse Bayesian Optimization
Nathan Sandholtz, Simon Fraser University; Luke Bornn, Simon Fraser University; Maurice Smith, Harvard University; Yohsuke Miyamoto, Waymo