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