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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 141 | Mon, 8/3/09, 10:30 AM - 12:20 PM | CC-144C |
| Case Studies in Complex Bayesian Computation - Invited - Papers | ||
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Section on Statistical Computing, Section on Bayesian Statistical Science |
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| Organizer(s): Carlos M. Carvalho, The University of Chicago | ||
| Chair(s): Carlos M. Carvalho, The University of Chicago | ||
| 10:35 AM |
Adaptive Mixture Modeling Metropolis Methods for Bayesian Analysis of Nonlinear State-Space Models —  Jarad Niemi, Duke University; Mike West, Duke University
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| 11:05 AM |
Orthant-Normal Shrinkage Priors in Regression — Christopher Hans, The Ohio State University
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| 11:35 AM |
Particle Learning and Smoothing — Hedibert F. Lopes, The University of Chicago; Carlos M. Carvalho, The University of Chicago; Nicholas Polson, The University of Chicago; Michael Johannes, Columbia Business School
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| 12:05 PM | Floor Discussion | |
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |