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Activity Number: 347
Type: Topic Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract #316205 View Presentation
Title: Improving Estimation Efficiency by an Easy Empirical Likelihood Approach
Author(s): Fei Tan* and Hanxiang Peng
Companies: Indiana University Purdue University Indianapolis and Indiana University Purdue University Indianapolis
Keywords: empirical likelihood ; efficiency ; U-statistics ; generalized linear models ; structural equation models
Abstract:

In this talk, we report some results about improving the efficiency of estimates in generated estimating equations using an easy empirical likelihood approach. We discuss computing complexity and mathematical tractability of the easy approach. We explain how to easily obtain the estimates using the existing software. We report some simulation results about computing time and efficiency improvement. Our simulation designs include generalized linear models, Cox models, structural equation models and U-statistics based on GEEs.

Authors who are presenting talks have a * after their name.

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