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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
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Sun, 7/29/07, 2:00 PM - 3:50 PM | CC-250 B |
| Some New Developments in Statistical Learning - Invited - Papers | ||
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Section on Statistical Computing, Section on Bayesian Statistical Science, Section on Teaching Statistics in the Health Sciences, Section on Nonparametric Statistics, Section on Physical and Engineering Sciences |
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| Organizer(s): Ji Zhu, University of Michigan | ||
| Chair(s): Sijian Wang, University of Michigan | ||
| 2:05 PM |
The Adaptive Lasso and Its Oracle Properties — Hui Zou, The University of Minnesota
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| 2:35 PM |
Robust Support Vector Machines — Yufeng Liu, The University of North Carolina at Chapel Hill
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| 3:05 PM |
Bayesian Ensemble Active Learning — Hugh Chipman, Acadia University; Edward I. George, University of Pennsylvania; Robert McCulloch, The University of Chicago Graduate School of Business
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| 3:35 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. |