Abstract Details
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Activity Number:
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101
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Type:
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Invited
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Date/Time:
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Monday, August 5, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #307379 |
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Title:
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Nonstationary Latent Effects in Models for Animal Counts
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Author(s):
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Alexandra M Schmidt*+ and Marco A. Rodríguez
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Companies:
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Universidade Federal do Rio de Janeiro and Université du Québec à Trois-Rivières
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Keywords:
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anisotropy ;
Bayesian paradigm ;
Gaussian process ;
generalized linear models ;
geostatistics ;
random effects
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Abstract:
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Measurements of animal abundance in the field often arise from complex sampling designs and are influenced by unobserved environmental variation. Stationary latent structures are commonly used in spatio-temporal models to account for this variation. We propose a model that accounts for nonstationary spatio-temporal structures by incorporating covariate information in the covariance structure of the latent process. Our model is fitted to fish counts from a freshwater system in Quebec, Canada.
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Authors who are presenting talks have a * after their name.
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