JSM Preliminary Online Program
This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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
Washington Convention Center = “CC”, Renaissance Washington, DC Hotel = “RH”

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138 Mon, 8/3/09, 10:30 AM - 12:20 PM CC-207B
Recent Advances in Statistical Learning and Computing for Massive High-Dimensional Data - Invited - Papers
ASA Special Interest Group on Statistical Learning and Data Mining, Interface Foundation of North America
Organizer(s): Hui Zou, University of Minnesota
Chair(s): Jinchi Lv, University of Southern California
    10:35 AM   Forward-Lasso Adaptive ShrinkageGareth James, University of Southern California; Peter Radchenko, University of Southern California
    11:05 AM   Partial Correlation Estimation by Joint Sparse Regression ModelsJi Zhu, University of Michigan; Jie Peng, University of California, Davis; Pei Wang, Fred Hutchinson Cancer Research Center; Nengfeng Zhou, University of Michigan
    11:35 AM   On Localized Dimension Reduction and Variable SelectionXiangrong Yin, The University of Georgia; Qin Wang, The University of Georgia; Bing Li, Penn State University; Zhihui Tang, Penn State University
     12:05 PM   Floor Discussion
 

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.
Revised September, 2008