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Activity Details

41 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Topics on Bayesian Inference — Contributed Papers
Chair(s): Adityanand Guntuboyina, University of California, Berkeley
On the Validity of the Formal Edgeworth Expansion for Posterior Densities
John Kolassa, Rutgers University; Todd Kuffner, Washington University in Saint Louis
Crowdsourcing: Beyond Dawid-Skene Model
Tony Cai, University of Pennsylvania; Ran Chen, Department of Statistics, Wharton, Upenn
Limitations of Single-Step Drift and Minorization in Markov Chain Convergence Analysis
Qian Qin, University of Minnesota; James P. Hobert, University of Florida
Introducing an Alternative Flexible Bivariate Distribution for Count Data Expressing Data Dispersion
Kimberly Weems, North Carolina Central Univ; Kimberly Sellers, Georgetown University; Tong Li, Georgetown University
Autoregressive Models for Tensor-Valued Time Series
Zebang Li, Rutgers The State Univ of NJ