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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
374
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Tue, 8/4/09, 2:00 PM - 3:50 PM | CC-208B |
| Bayesian Learning, Smoothing, and Dimension Reduction - Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Chair(s): Robert B. Gramacy, University of Cambridge | ||
| 2:05 PM |
A Bayesian Multiscale Model for Smoothing Images Using the Chinese Restaurant Process —  John T. White, North Carolina State University
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| 2:20 PM |
Bayesian Hazard Rate Estimation and Sufficient Dimension Reduction — Shraddha S. Mehta, Purdue University; Surya T. Tokdar, Carnegie Mellon University; Jayanta K. Ghosh, Purdue University; Bruce A. Craig, Purdue University
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| 2:35 PM |
Bayesian Principal Component Regression with Data-Driven Components Selection — Liuxia Wang, Sentrana Inc.
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| 2:50 PM |
Bayesian Adaptive Ensemble Learning — Sounak Chakraborty, University of Missouri-Columbia
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| 3:05 PM |
Bayesian Flexible Joint Modeling of Survival and Curve Predictors — Xiaohui Wang, The University of Texas Pan American; Veera Baladandayuthapani, The University of Texas M.D. Anderson Cancer Center; Bani K. Mallick, Texas A&M University; Kim-Anh Do, The University of Texas M.D. Anderson Cancer Center
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| 3:20 PM |
Semiparametric Bayes Local Additive Models for Longitudinal Data — Zhaowei Hua, The University of North Carolina at Chapel Hill; David Dunson, Duke University
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| 3:35 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. |