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JSM Activity #344This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
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Legend: = Applied Session,
= Theme Session,
= Presenter |
344 | Wed, 8/10/05, 8:30 AM - 10:20 AM | MCC-208 B |
Applications of Sequential Monte Carlo Methods in Statistics Applications of Sequential Monte Carlo Methods in Statistics - Invited - Papers | ||
Section on Statistical Computing, Section on Bayesian Statistical Science, Business and Economics Statistics Section | ||
Organizer(s): Arnaud Doucet, Cambridge University | ||
Chair(s): Arnaud Doucet, Cambridge University | ||
8:35 AM | Maximum Likelihood Parameter Estimation in General State-Space Models Using Particle Methods — Sumeetpal S. Singh, Cambridge University; George Poyiadjis, Cambridge University; Arnaud Doucet, Cambridge University | |
9:05 AM | Particle Filter Methods for High-Frequency Data — Michael Pitt, The University of Warwick | |
9:35 AM | Convergence of Adaptative Importance Sampling Algorithms — Jean-Michel Marin, University Paris-Sud and CEREMADE; Arnaud Doucet, Cambridge University; Christian Robert, University Paris-Sud and CEREMADE | |
10:05 AM | Floor Discussion | |
JSM 2005
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. |