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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| 276 | Tue, 8/8/06, 10:30 AM - 12:20 PM | CC-608 |
| High Dimensional Modeling and Model Selection - Topic Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Organizer(s): Christopher Hans, The Ohio State University | ||
| Chair(s): Herbert Lee, University of California, Santa Cruz | ||
| 10:35 AM |
Priors for High-Dimensional Covariance Models —  Charles Curry, University of California, Santa Cruz
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| 10:55 AM |
High-Dimensional Modeling and Model Selection — Carlos Carvalho, Duke University
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| 11:15 AM |
Sparsity in Linear Regression for High-Dimensional Problems — Christopher Hans, The Ohio State University
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| 11:35 AM |
A Bayesian Nonparametric Approach for Expression Proteomic Analyses — Leanna House, Duke University; Merlise Clyde, Duke University; Robert Wolpert, Duke University
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| 11:55 AM |
Making Sense of Estimating Integrated Likelihoods: Bridges, Paths, and Other Routes — Russell Steele, McGill University
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| 12:15 PM | Floor Discussion | |
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JSM 2006
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. |