A Bayesian Large Deviations Probabilistic Interpretation and Justification of Empirical Likelihood

In this paper we demonstrate, in a parametric Estimating Equations setting, that the Empirical Likelihood (EL) method is an asymptotic instance of the Bayesian non-parametric Maximum-A-Posteriori approach. The resulting probabilistic interpretation and justifcation of EL rests on Bayesian non-parametric consistency in L-divergence.

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Year of publication:	2007-04-23
Authors:	Grendar, Marian ; Judge, George G.
Institutions:	Department of Agricultural and Resource Economics, University of California-Berkeley
Subject:	Maximum Non-parametric Likelihood \| Estimating Equations \| Bayesian non-parametric consistency \| Sanov Theorem for Sampling Distributions \| L-divergence \| Social and Behavioral Sciences

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Extent:	application/pdf
Series:	Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Department of Agricultural and Resource Economics, UCB
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010676623