This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 577
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #307454
Title: Empirical Likelihood with Infinitely Many Constraints
Author(s): Hanxiang Peng*+ and Anton Schick
Companies: Indiana University Purdue University Indianapolis and Binghamton University
Address: 402 N. Blackford St. LD 270, Indianapolis, IN, 46202-3216,
Keywords: empirical likelihood ; efficiency ; infinitely many constraints ; likelihood ratio ; Wilk's Theorem

In this talk, we report some results of the empirical likelihood with infinitely many constraints. As an application of the results, we discuss empirical likelihood based inference in a symmetric location model and linear regression model with symmetric errors.

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