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