JSM 2004 Online Program

Abstract #300772

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Activity Number:	124
Type:	Luncheons
Date/Time:	Monday, August 9, 2004 : 12:30 PM to 1:50 PM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #300772
Title:	Bayesian Spatial Statistics - SOLD OUT
Author(s):	Alan E. Gelfand*+
Companies:	Duke University
Address:	Institute of Statistics and Decision Science, Durham, NC, 27708-0251,
Keywords:	areal unit data ; point-referenced data ; hierarchical modeling ; Bayesian computation
Abstract:	With the dramatic increase in collection of spatial and spatiotemporal data, the need for more sophisticated modeling to analyze such data arises. Hierarchical models, implemented within the Bayesian framework, become attractive. Topics for discussion will include: modeling strategies to incorporate spatial features, spatial process models vs. Markov random field models, dynamic modeling for spatio-temporal data, multivariate spatial-process modeling, and computational issues.

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