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Abstract Details
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Activity Number:
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143
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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International Society of Bayesian Analysis
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| Abstract - #300172 |
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Title:
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Model Checking in an Expanded Graphical Modeling Framework
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Author(s):
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Andrew Gelman*+
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Companies:
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Columbia University
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Address:
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Department of Statistics, New York, NY, 10027, USA
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Keywords:
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Bayesian data analysis ;
debugging ;
posterior predictive check
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Abstract:
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We discuss how to expand the language of directed acyclic graphs to include model checking, model comparison, and debugging, along with the traditional graphical model task of inference within a model. We are not particularly interested in discrete model choice, model averaging, Bayes factors, etc.; rather, we are working in applied contexts in which we are continually building more complicated models which we need to understand in light of earlier, simpler efforts.
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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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