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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151 Applied Session Mon, 8/3/09, 10:30 AM - 12:20 PM CC-158B
Monte Carlo and Sequential Analyses: Methods and Applications - Topic Contributed - Papers
Section on Bayesian Statistical Science, Interface Foundation of North America
Organizer(s): Mike West, Duke University
Chair(s): Raquel Prado, University of California, Santa Cruz
    10:35 AM   Adaptive Design for Model SelectionFei Liu, University of Missouri-Columbia; Fan Li, Duke University; David Dunson, Duke University
    10:55 AM   Targeted Sequential Resampling from Large Data Sets in Mixture ModelingIoanna Manolopoulou, Statistical and Applied Mathematical Sciences Institute
    11:15 AM   Particle Learning DSGE ModelsFrancesca Petralia, Duke University; Carlos M. Carvalho, The University of Chicago; Hedibert F. Lopes, The University of Chicago; Hao Chen, Duke University
    11:35 AM   Particle Stochastic Search for High-Dimensional Variable SelectionMinghui Shi, Duke University
    11:55 AM   Sequential Learning in Dynamic Graphical ModelsHao Wang, Duke University; Craig Reeson, Duke University
     12:15 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