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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”
519
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Thu, 8/10/06, 10:30 AM - 12:20 PM | CC-603 |
| Monte Carlo Methods for Computationally Intensive Problems - Invited - Papers | ||
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Section on Statistical Computing |
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| Organizer(s): Yuguo Chen, University of Illinois at Urbana-Champaign | ||
| Chair(s): Yuguo Chen, University of Illinois at Urbana-Champaign | ||
| 10:35 AM |
Espousing Modern Computation with Classical Statistics: Sufficiency, Ancillarity, and a New Generation of MCMC —  Xiao-Li Meng, Harvard University
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| 11:00 AM |
Conditional Inference in Log-Linear Models: Exact Calculation versus Monte Carlo Approximation — James Booth, Cornell University
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| 11:25 AM |
Constrained Sequential Monte Carlo (CSMC) — Rong Chen, National Science Foundation
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| 11:50 AM |
Sequential Monte Carlo for Estimating Ratio of Normalizing Constants — Arnaud Doucet, The University of British Columbia
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| 12:15 PM | Floor Discussion | |
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JSM 2006
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. |