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Activity Number: 389
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #305894
Title: A Method for Multiscale Spatio-Temporal Analysis
Author(s): Mary Louie*+
Companies: National Center for Health Statistics
Address: 3311 Toledo Road, Hyattsville, MD, 20782,
Keywords: multiscale ; spatial ; temporal ; autocorrelation ; Markov process ; disease mapping
Abstract:

For the multiscale spatial process model that is based on a factorization of the Poisson likelihood, we outline a potential method for incorporating a temporal component. We specify a set of multivariate latent variables that are governed by a Markov process so as to incorporate autocorrelation in the prior structure on the multiscale parameters. We consider distributions for the latent variables that are conjugate to that of the prior structure, thereby facilitating posterior computation. Results are presented from a simulation study based on a disease mapping framework.

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