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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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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 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter| 147 | Mon, 7/30/07, 10:30 AM - 12:20 PM | CC-250 B |
| Bayesian Approaches in Machine Learning and Model Selection - Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Chair(s): Meijuan Li, The University of Minnesota | ||
| 10:35 AM |
Adaptive Dynamic Bayesian Networks — Brenda Ng, Lawrence Livermore National Laboratory
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| 10:50 AM |
Testing Equality of Several Functions — Sam Behseta, California State University; Robert E. Kass, Carnegie Mellon University
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| 11:05 AM |
Aspects of Bayesian Lasso Regression — Christopher Hans, The Ohio State University; Steven N. MacEachern, The Ohio State University
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| 11:20 AM |
Bayesian Kernel Regression with Feature Selection — Zhi Ouyang, Duke University; Merlise A. Clyde, Duke University; Robert L. Wolpert, Duke University
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| 11:35 AM |
Bayesian Model Averaging Using Adaptive Sampling — Joyee Ghosh, Duke University; Merlise A. Clyde, Duke University
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| 11:50 AM | Floor Discussion | |
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JSM 2007
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. |