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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
189
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Mon, 7/30/07, 2:00 PM - 3:50 PM | CC-251 F |
| Statistics and Machine Learning in High Dimension - Topic Contributed - Papers | ||
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Section on Bayesian Statistical Science |
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| Organizer(s): Samiran Ghosh, Indiana University Purdue University Indianapolis | ||
| Chair(s): Melanie Wilson, Duke University | ||
| 2:05 PM |
Estimating Rates of Rare Events in Massive Web Applications —  Deepak Agarwal, Yahoo! Research
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| 2:25 PM |
Robust Test for Detecting a Signal in a High-Dimensional Sparse Normal Vector — Junyong Park, University of Maryland, Baltimore County; Eitan Greenshtein, Statistical and Applied Mathematical Sciences Institute
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| 2:45 PM |
Learning Gradients and Feature Selection on Manifolds — Sayan Mukherjee, Duke University
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| 3:05 PM |
Feature Extraction for Classification of Functional Data — Bin Li, Louisiana State University; Qingzhao Yu, Louisiana State University Health Sciences Center
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| 3:25 PM |
Dimension Augmenting Vector Machine: A New General Classifier System for Large p Small n Problem — Samiran Ghosh, Indiana University Purdue University Indianapolis; Yazhen Wang, University of Connecticut; Dipak Dey, University of Connecticut
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| 3:45 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. |