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Activity Number:
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139
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2016 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #320230
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Title:
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Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
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Author(s):
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Gregory Watson* and Donatello Telesca
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Companies:
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University of California at Los Angeles and University of California at Los Angeles
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Keywords:
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Bayesian ;
Spatial ;
CART ;
Nonparametric ;
Tree ;
MCMC
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Abstract:
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Inferring the health effects of environmental stressors is challenging on account of the excess zeroes, spatiotemporal dependence, nonlinear effects, interactions and variable selection problems typical of such data. Bayesian regression trees naturally account for nonlinear effects, interactions and variable selection while maintaining an interpretable inferential framework. Here they are coupled with a zero-inflated sampling model and random effects for space and time to model the health effects of environmental stressors.
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Authors who are presenting talks have a * after their name.
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