Abstract Details
Activity Number:
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669
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Type:
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Invited
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Date/Time:
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Thursday, August 13, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Memorial
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Abstract #314431
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Title:
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The Bayesian Approach to Analysis of Selection Models and Weighted Distributions
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Author(s):
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James Berger*
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Companies:
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Duke University
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Keywords:
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selection models ;
weighted distributions ;
Bayesian ;
publication bias
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Abstract:
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Selection models arise when the data are selected to enter the sample only if they occur in a certain region of the sample space. When this selection occurs according to some probability distribution, the resulting model is often instead called a weighted distribution model. In either case the "original" density becomes multiplied by a "weight function" w(x). Susie Bayarri, in a series of nine highly influential papers, developed the Bayesian approach to analysis of selection models and weighted distributions. This talk will review her research in the area and point out its considerable relevance today, in light of the serious concerns over reproducibility of science.
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Authors who are presenting talks have a * after their name.
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