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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| 164 | Mon, 8/3/09, 10:30 AM - 12:20 PM | CC-159A |
| MCMC, Sampling Algorithms, and Approximations in Bayesian Inference - Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Chair(s): Lawrence I. Pettit, Queen Mary University of London | ||
| 10:35 AM |
A Multi-Scale Adaptive Metropolis Algorithm —  Matthew J. Heaton, Duke University; Scott Schmidler, Duke University
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| 10:50 AM |
Bayesian Inference for the Inverse Problem and Applications — Huei-Wen Teng, Penn State University
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| 11:05 AM |
A Note on the Algorithmic Convergence of Posterior Simulation for Mixtures of Logistic Regression Model — Joy (Yang) Ge, Merck Research Laboratories; Wenxin Jiang, Northwestern University
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| 11:20 AM |
Orthogonal Data Augmentation for Bayesian Model Averaging — Joyee Ghosh, The University of North Carolina at Chapel Hill; Merlise A. Clyde, Duke University
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| 11:35 AM |
A New Algorithm to Generate Samples from the Repulsion Potts Model — Dai Feng, Merck Research Laboratories; Luke Tierney, The University of Iowa
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| 11:50 AM |
A Derivative-Free Approach to Approximation of Computationally Expensive Posterior Densities — Nikolay Bliznyuk, Harvard School of Public Health
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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. |