This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
122
|
Type:
|
Topic Contributed
|
Date/Time:
|
Monday, August 2, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Nonparametric Statistics
|
Abstract - #306765 |
Title:
|
Nonparametric Maximum Likelihood Estimation for Mixtures with Partial Priors
|
Author(s):
|
Ji-Ping Wang*+
|
Companies:
|
Northwestern University
|
Address:
|
, , ,
|
Keywords:
|
mixutre models ;
nonparametric maximum likelihood estimation
|
Abstract:
|
Let f(x;G) be a mixture distribution with a known f and an unknown mixing distribution G of an unknown form. We consider estimating a parameter, which can be written as a functional of G, using nonparametric maximum likelihood estimation (NPMLE). However, the plug-in NPML estimator of the parameter can be biased due to a boundary problem that is structurally inherent. We show that a partial prior, defined as a prior distribution of a functional of the mixing distribution, is effective in improving the NPMLE. Computing algorithms and applications in species richness estimation and capture-recapture problems are discussed.
|
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 2010 program
|
2010 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.