JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.



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Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

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4 Applied Session Theme Session Sun, 7/29/07, 2:00 PM - 3:50 PM CC-250 B
Some New Developments in Statistical Learning - Invited - Papers
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
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Sijian Wang, University of Michigan
     2:05 PM   The Adaptive Lasso and Its Oracle PropertiesHui Zou, The University of Minnesota
     2:35 PM   Robust Support Vector MachinesYufeng Liu, The University of North Carolina at Chapel Hill
     3:05 PM   Bayesian Ensemble Active LearningHugh Chipman, Acadia University; Edward I. George, University of Pennsylvania; Robert McCulloch, The University of Chicago Graduate School of Business
     3:35 PM   Floor Discussion
 

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.
Revised September, 2007