JSM Preliminary Online Program
This is the preliminary program for the 2008 Joint Statistical Meetings in Denver, Colorado.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

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Legend: = Applied Session, = Theme Session, = Presenter
Colorado Convention Center = “CC”, Hyatt = “HY”

30 Applied Session Theme Session Sun, 8/3/08, 2:00 PM - 3:50 PM CC-112
Bayesian Models and Methods for Spatial and Temporal Data - Contributed - Papers
Section on Bayesian Statistical Science, Section on Statistical Computing
Chair(s): James G. Scott, Duke University
    2:05 PM   Change of Spatiotemporal Scale in Dynamic Models — Yongku Kim, Statistical and Applied Mathematical Sciences Institute; Mark Berliner, The Ohio State University
    2:20 PM   A Stochastic Neighborhood Conditional Auto-Regressive Model for Spatial Data — Gentry White, North Carolina State University; Sujit Ghosh, North Carolina State University
    2:35 PM   Combining Complex Climate Models with Massive Observational Data for Predicting Climate Change — K. Sham Bhat, The Pennsylvania State University; Murali Haran, The Pennsylvania State University; Klaus Keller, The Pennsylvania State University; Joshua Dorin, The Pennsylvania State University
    2:50 PM   Zero-Inflated Bayesian Spatial Models with Repeated Measurements — Jing Zhang, University of Missouri-Columbia; Chong Z. He, University of Missouri-Columbia
    3:05 PM   Gaussian Multiscale Spatio-Temporal Models — Marco A.R. Ferreira, University of Missouri-Columbia; Scott Holan, University of Missouri-Columbia; Adelmo Bertolde, Federal University of Espirito Santo
    3:20 PM   Bayesian Estimation of GARCH Models — Daniel Wan Hussin, University Bamberg
    3:35 PM   A Bayesian Model for Multivariate Functional Data — Ori Rosen, The University of Texas at El Paso; Wesley Thompson, University of Pittsburgh
 

JSM 2008 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, 2008