This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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319
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Type:
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Invited
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #306302 |
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Title:
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Bayesian Modeling for Spatial Extreme Values
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Author(s):
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Huiyan Sang*+
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Companies:
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Texas A&M University
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Address:
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416C Blocker Bldg, College Station, TX, 77845,
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Keywords:
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Spatial extreme values ;
Bayesian hierarchical modeling ;
Latent Gaussian models ;
MCMC
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Abstract:
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We propose a hierarchical modeling approach for explaining a collection of point-referenced extreme values. We assume latent Gaussian spatial process models for the marginal GEV parameters to capture large scale dependence, and we offer a spatial process model to capture the small scale spatial dependence which is unexplained by the marginal specifications. Model inference and prediction are obtained via MCMC technique. We will also discuss modeling and computational strategies for high dimensional spatial extreme data.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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