JSM 2004 - Toronto

JSM Activity #198

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
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198 Applied Session Tue, 8/10/04, 8:30 AM - 10:20 AM TCC-714 B
Bayesian Inference for Gene Expression Data - Contributed - Papers
Section on Bayesian Statistical Science
Chair(s): Susan Paddock, RAND Corporation
     8:35 AM   Multiclass Cancer Diagnosis Using Bayesian Kernel Machine Models — Sounak Chakraborty, University of Florida; Bani K. Mallick, Texas A&M University; Debashis Ghosh, University of Michigan; Malay Ghosh, University of Florida
     8:50 AM   Modeling Nonlinear Gene Interactions using Bayesian MARS — Veerabhadran Baladandayuthapani, Texas A&M University; Bani K. Mallick, Texas A&M University; Raymond J. Carroll, Texas A&M University; Chris C. Holmes, Imperial College
     9:05 AM   Gene Selection Using a Two-level Hierarchical Bayesian Model — Kyounghwa Bae, Texas A&M University; Bani K. Mallick, Texas A&M University
     9:20 AM   The Geno-Pheno Problem: Predicting Fitness from Genotype Using the Exchangeable within Subsets Prior and Prior Model Selection — Christina R. Kitchen, University of California, Los Angeles; Robert E. Weiss, University of California, Los Angeles; Gang Liu, University of California, Los Angeles
     9:35 AM   Statistical Models for Clustering of DNA Binding Motifs — Shane Tyler Jensen, Harvard University; Jun S. Liu, Harvard University
     9:50 AM   Hierarchical Models for Detecting Positive Selection in DNA Sequences — Raquel Prado, University of California, Santa Cruz; Daniel Merl, University of California, Santa Cruz
     10:05 AM   A Bayesian Approach for Identifying Multiple Regulatory Motifs Using Reversible Jump Markov Chain Monte Carlo — Sierra M. Li, University of Washington; Jon C. Wakefield, University of Washington; Steve G. Self, Fred Hutchinson Cancer Research Center
 

JSM 2004 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 March 2004