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  • Search: subject:"Maximum Non-parametric Likelihood"
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Year of publication
Subject
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L-divergence 2 Maximum Non-parametric Likelihood 2 Bayesian Large Deviations 1 Bayesian Maximum (A Posteriori) Probability method 1 Bayesian non-parametric consistency 1 Bayesian nonparametric consistency 1 Empirical Likelihood method 1 Estimating Equations 1 Maximum Non-parametric Likelihood method 1 Polya L-divergence 1 Polya sampling 1 Sanov Theorem for Sampling Distributions 1 Social and Behavioral Sciences 1 estimating equations 1 right censoring 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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Undetermined 3
Author
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Grendar, Marian 3 Judge, George G. 3 Niven, R. K. 1
Institution
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Department of Agricultural and Resource Economics, University of California-Berkeley 3
Published in...
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Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series 3
Source
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RePEc 3
Showing 1 - 3 of 3
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Consistency of Empirical Likelihood and Maximum A-Posteriori Probability Under Misspecification
Grendar, Marian; Judge, George G. - Department of Agricultural and Resource Economics, … - 2008
Using a large deviations approach, Maximum A-Posteriori Probability (MAP) and Empirical Likelihood (EL) are shown to possess, under misspecification, an exclusive property of Bayesian consistency. Under conditions of consistency, regardless of prior the MAP estimator asymptotically coincides...
Persistent link: https://www.econbiz.de/10010537314
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Large Deviations Approach to Bayesian Nonparametric Consistency: the Case of Polya Urn Sampling
Grendar, Marian; Judge, George G.; Niven, R. K. - Department of Agricultural and Resource Economics, … - 2007
, Bayesian nonparametric consistency is established. Polya BST is also used to provide an extension of Maximum Non-parametric … Likelihood and Empirical Likelihood methods to the Polya case. …
Persistent link: https://www.econbiz.de/10010537510
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A Bayesian Large Deviations Probabilistic Interpretation and Justification of Empirical Likelihood
Grendar, Marian; Judge, George G. - Department of Agricultural and Resource Economics, … - 2007
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...
Persistent link: https://www.econbiz.de/10010676623
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