JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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 2007 Program page




Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

Add To My Program
147 Mon, 7/30/07, 10:30 AM - 12:20 PM CC-250 B
Bayesian Approaches in Machine Learning and Model Selection - Contributed - Papers
Section on Bayesian Statistical Science
Chair(s): Meijuan Li, The University of Minnesota
     10:35 AM   Adaptive Dynamic Bayesian NetworksBrenda Ng, Lawrence Livermore National Laboratory
     10:50 AM   Testing Equality of Several FunctionsSam Behseta, California State University; Robert E. Kass, Carnegie Mellon University
     11:05 AM   Aspects of Bayesian Lasso RegressionChristopher Hans, The Ohio State University; Steven N. MacEachern, The Ohio State University
     11:20 AM   Bayesian Kernel Regression with Feature SelectionZhi Ouyang, Duke University; Merlise A. Clyde, Duke University; Robert L. Wolpert, Duke University
     11:35 AM   Bayesian Model Averaging Using Adaptive SamplingJoyee Ghosh, Duke University; Merlise A. Clyde, Duke University
     11:50 AM   Floor Discussion
 

JSM 2007 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, 2007