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Abstract Details
Activity Number:
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617
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #301987 |
Title:
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Performance of FDR-Controlling Procedures Under Dependence
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Author(s):
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Yunda Zhong*+
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Companies:
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The University of Chicago
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Address:
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Department of Statistics, Chicago, IL, 60637,
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Keywords:
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FDR
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Abstract:
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False discovery approach is a widely used criterion in multiple hypotheses testing. In my talk, I assume that the null hypotheses exhibit a dependence structure that is related to nonlinear factor analysis. Conditioning on the null hypotheses, the p-values are assumed to be independent. My interest is on the asymptotic properties of some prevailing FDR-control procedures, such as BH procedures, under different dependence settings. Some interesting examples are also studied.
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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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