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Abstract Details
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Activity Number:
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118
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #300773 |
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Title:
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Beta Mixture with Application to Fitting the Empirical Distribution of P-Values
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Author(s):
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Bing Han*+
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Companies:
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RAND Corporation
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Address:
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1776 Main St, Santa Monica, CA, 90034,
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Keywords:
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Beta mixture ;
shape-restricted density ;
Bernstein polynomials ;
NPMLE
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Abstract:
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Beta mixture models are frequently used as a parametric approach to estimating densities with a bounded support. We further investigate the shape-restricted density estimation, e.g., both the density and its estimator are decreasing functions on (0,1). Toward this goal, we examine the classic beta-mixture models and Bernstein-type nonparametric approach. These models are applied to estimate the local false discovery rate in large scale simultaneous inference.
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Authors who are presenting talks have a * after their name.
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