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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| 124 | Mon, 7/30/07, 10:30 AM - 12:20 PM | CC-250 EF |
| Recent Developments in Bayesian Methods in Data Mining/Machine Learning - Invited - Papers | ||
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Section on Bayesian Statistical Science |
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| Organizer(s): David Madigan, Rutgers University | ||
| Chair(s): David Madigan, Rutgers University | ||
| 10:35 AM |
Stochastic Block Models of Mixed Membership —  Edoardo M. Airoldi, Princeton University; David Blei, Princeton University; Stephen Fienberg, Carnegie Mellon University; Eric Xing, Carnegie Mellon University
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| 11:05 AM |
Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering — Howard D. Bondell, North Carolina State University
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| 11:35 AM |
The Lasso with Attribute Partition Search — Suhrid Balakrishnan, Rutgers University; David Madigan, Rutgers University
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| 12:05 PM | 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. |