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- W1605422486 abstract "Author(s): Grendar, Marian; Judge, George G.; Niven, R. K. | Abstract: 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 BST is also used to provide an extension of Maximum Non-parametric Likelihood and Empirical Likelihood methods to the Polya case." @default.
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- W1605422486 date "2007-09-21" @default.
- W1605422486 modified "2023-10-17" @default.
- W1605422486 title "Large Deviations Approach to Bayesian Nonparametric Consistency: the Case of Polya Urn Sampling" @default.
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