JSM 2004 - Toronto

JSM Activity #272

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.

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.

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 2004 Program page
Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
Add To My Program
272 Applied Session Tue, 8/10/04, 2:00 PM - 3:50 PM TCC-801 B
Spatial Inference - Contributed - Papers
Section on Bayesian Statistical Science
Chair(s): Gabriel Huerta, University of New Mexico
     2:05 PM   Gaussian Process Models for the Sphere — Margaret B. Short, Los Alamos National Laboratory
     2:20 PM   Normal Observables with CAR Priors Having Two Types of Neighbor Relations — Brian J. Reich, University of Minnesota; James S. Hodges, University of Minnesota; Brad Carlin, University of Minnesota
     2:35 PM   Generalized Hierarchical Multivariate CAR Models for Areal Data — Xiaoping Jin, University of Minnesota; Brad Carlin, University of Minnesota
     2:50 PM   Process Approximation for Analysis of Large Spatial Datasets — Gangqiang Xia, Duke University; Alan E. Gelfand, Duke University
     3:05 PM   Urban Sprawl/Effect and Chronic Obstructive Pulmonary Disease: A Bayesian Spatial Analysis with Maps — Gerald Shoultz, National Center for Health Statistics
     3:20 PM   On Bayesian Assessment of Curvilinear Boundaries — Sudipto Banerjee, University of Minnesota
     3:35 PM   Predicting Gaussian Fields with Unknown Covariance Structure — Elizabeth C. Shamseldin, University of North Carolina, Chapel Hill; Richard L. Smith, University of North Carolina
 

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