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Activity Details

234 Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-304
Bayesian Conditional Models and Updates — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Yang Liu, University of Connecticut
2:05 PM Assessing Research Outcomes, Impact, and Innovativeness Through Senior Scientist Review: An Alternative Approach to Bibliometrics — Kassie Fronczyk, Institute for Defense Analyses ; Justin Mary, Institute for Defense Analyses
2:20 PM Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo Leo Duan, Johns Hopkins University ; James Johndrow, Stanford University ; David Dunson, Duke University
2:35 PM A Modified Conditional Metropolis-Hastings Sampler with Two Generalized Strategies Jianan Hui, University of California, Riverside ; James Flegal, University of California, Riverside ; Alicia Johnson, Macalester College
2:50 PM On General Sampling Schemes for Particle Markov Chain Monte Carlo Methods Christopher Carter, University of New South Wales ; Robert Kohn, University of New South Wales ; Eduardo Mendes, Fundacao Getulio Vargas
3:05 PM High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models Satyajit Ghosh, University of Florida ; Kshitij Khare, University of Florida ; George Michailidis, University of Florida
3:20 PM Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors — Matthew J. Keefe, Virginia Tech ; Marco Ferreira, Virginia Tech ; Christopher T. Franck, Virginia Tech Department of Statistics
3:35 PM Floor Discussion
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