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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414 Applied Session Theme Session Wed, 8/5/09, 8:30 AM - 10:20 AM CC-143A
Particle Learning - Topic Contributed - Papers
Section on Bayesian Statistical Science
Organizer(s): Hedibert F. Lopes, The University of Chicago
Chair(s): Hedibert F. Lopes, The University of Chicago
    8:35 AM   Parameter Estimation for General State-Space Models: A ReviewJonathan R. Stroud, The George Washington University
    8:55 AM   Particle Learning in Autoregressive Models with Structured PriorsRaquel Prado, University of California, Santa Cruz; Hedibert F. Lopes, The University of Chicago
    9:15 AM   Sequential Monte Carlo in Model Comparison: Example in Cellular Dynamics in Systems BiologyChiranjit Mukherjee, Duke University; Y. Tanouchi, Duke University; L. You, Duke University; Mike West, Duke University
    9:35 AM   Sequential Monte Carlo Methods for Long Memory Stochastic Volatility ModelsChristian Macaro, Duke University; Hedibert F. Lopes, The University of Chicago
    9:55 AM   The Role of Options, Stochastic Volatility, and Jumps in the Interest Rate Risk Premia DynamicsBruno P. Lund, Chicago Booth School of Business; Hedibert F. Lopes, The University of Chicago
     10:15 AM   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