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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
304
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Tue, 8/4/09, 10:30 AM - 12:20 PM | CC-208B |
| Sparsity and Structure in Multivariate Modeling - Topic Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Organizer(s): Mike West, Duke University | ||
| Chair(s): Adrian Dobra, University of Washington | ||
| 10:35 AM |
Identifying Repeated Observations in the Presence of Sparsity and Distortion: A Case Study in Proteomics —  Joseph E. Lucas, Duke Institute for Genome Science and Policy
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| 10:55 AM |
Nonparametric Mixtures of Nonparametric Mixtures for Sparse Non-Gaussian Density Estimation with Application to Flow Cytometry — Daniel Merl, Duke University
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| 11:15 AM |
Sparse Bayes Learning by Annealing Entropy — Ryo Yoshida, Institute of Statistical Mathematics; Mike West, Duke University
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| 11:35 AM |
On the Primal and Dual Sparsity of Structured Input/Output Models — Eric Xing, Carnegie Mellon University
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| 11:55 AM |
Bayes and Empirical-Bayes Multiplicity Adjustment in the Variable-Selection Problem — James Scott, Duke University
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| 12:15 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. |