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Abstract Details
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Activity Number:
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266
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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International Indian Statistical Association
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| Abstract - #303491 |
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Title:
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Innovative Statistical Methods and Applications
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Author(s):
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Bradley Efron*+
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Companies:
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Stanford University
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Address:
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390 Serra Mall , Stanford, CA, ,
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Keywords:
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Bayesian ;
Frequentist ;
inference
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Abstract:
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Model Selection, Estimation, and Bootstrap Smoothing
Bradley Efron, Stanford
In a typical statistical application, a first look at the data suggests a reasonable model (eg "cubic regression"), after which estimates and standard errors are calculated ignoring model selection. I will discuss bootstrap methods that take model selection into account. Here the bootstrap is used as a smoothing device, as in "bagging", in addition to its role as an accuracy estimator.
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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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