This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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249
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract - #306917 |
Title:
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Generalized Linear Spatial Random Effects Model
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Author(s):
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Aritra Sengupta*+ and Noel A. Cressie
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Companies:
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The Ohio State University and The Ohio State University
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Address:
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Department of Statistics, Columbus, OH, 43210,
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Keywords:
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non-linear spatial random effects model ;
generalized linear model ;
hierarchical statistical model ;
MCMC
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Abstract:
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Our research concerns Bayesian inference on non-linear spatial random effects models, with special emphasis in this talk on spatial generalized linear models. Dimension reduction is an important feature of these models. We shall embed them into a hierarchical statistical framework, where the data could take binary, count, or positive values. Inference based on MCMC will be discussed, and the relationship between dimension reduction and computational efficiency will be explored.
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Authors who are presenting talks have a * after their name.
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