The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
118
|
Type:
|
Topic Contributed
|
Date/Time:
|
Monday, August 1, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
IMS
|
Abstract - #300773 |
Title:
|
Beta Mixture with Application to Fitting the Empirical Distribution of P-Values
|
Author(s):
|
Bing Han*+
|
Companies:
|
RAND Corporation
|
Address:
|
1776 Main St, Santa Monica, CA, 90034,
|
Keywords:
|
Beta mixture ;
shape-restricted density ;
Bernstein polynomials ;
NPMLE
|
Abstract:
|
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.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.