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  • Search: subject:"Maximum Non-parametric Likelihood method"
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Year of publication
Subject
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Bayesian Maximum (A Posteriori) Probability method 1 Empirical Likelihood method 1 Maximum Non-parametric Likelihood method 1 Polya L-divergence 1
Online availability
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Free 1
Type of publication
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Book / Working Paper 1
Language
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Undetermined 1
Author
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Grendar, Marian 1 Judge, George G. 1 Niven, R. K. 1
Institution
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Department of Agricultural and Resource Economics, University of California-Berkeley 1
Published in...
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Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series 1
Source
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RePEc 1
Showing 1 - 1 of 1
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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
The Bayesian Sanov Theorem (BST) identifies, under both correct and incorrect specification of infinite dimensional model, the points of concentration of the posterior measure. Utilizing this insight in the context of Polya urn sampling, Bayesian nonparametric consistency is established. Polya...
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