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Abstract Details
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Activity Number:
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635
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Type:
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Invited
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Date/Time:
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Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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| Abstract - #303970 |
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Title:
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Bridges Between Classical and Bayesian Computation for Multilevel Models
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Author(s):
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Andrew Gelman*+ and Vincent Dorie
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Companies:
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Columbia University and Columbia University
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Address:
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1016 Social Work Bldg, New York, NY, 10027,
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Keywords:
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Abstract:
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Estimation of group-level variance parameters in multilevel models can be a challenge, especially when the number of groups is small. We discuss some regularizations to improve classical maximum likelihood and REML estimates, some priors for Bayesian inferences, and some simulation tools which allow the user of classical estimates to better adjust for bias and account for inferential uncertainty.
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Authors who are presenting talks have a * after their name.
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