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Activity Details


417 Tue, 8/6/2013, 2:00 PM - 3:50 PM CC-518
Adaptive Monte Carlo Methods for Bayesian Computation — Topic Contributed Papers
Section on Statistical Computing , International Society for Bayesian Analysis (ISBA)
Organizer(s): Scott C. Schmidler, Duke University
Chair(s): Le-Minh Ho, Yale University
2:05 PM Monte Carlo Confidence Intervals Yves Atchade, Statistics Department, University of Michigan
2:25 PM Locally Adaptive Markov Chain Monte Carlo Anthony Lee, University of Warwick ; Christophe Andrieu, University of Bristol ; Arnaud Doucet, University of Oxford
2:45 PM Score and Observed Information Matrix Estimation in State-Space Models Using Sequential Monte Carlo Pierre Etienne Jacob, National University of Singapore ; Arnaud Doucet, University of Oxford ; Sylvain Rubenthaler, CNRS Nice
3:05 PM Comparing the Efficiency of Adaptive MCMC Algorithms Scott C. Schmidler, Duke University
3:25 PM Floor Discussion



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