On rates of convergence for posterior distributions in infinite-dimensional models

Walker, Stephen G. and Lijoi, Antonio and Prunster, Igor (2007) On rates of convergence for posterior distributions in infinite-dimensional models. Annals of Statistics, 35 (2). pp. 738-746. ISSN 0090-5364. (Full text available)

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http://dx.doi.org/10.1214/009053606000001361

Abstract

This paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consistency. In particular, we improve on current rates of convergence for models including the mixture of Dirichlet process model and the random Bernstein polynomial model.

Item Type: Article
Uncontrolled keywords: Hellinger consistency; mixture of dirichlet process; posterior distribution; rates of convergence
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:24
Last Modified: 25 Jun 2014 10:44
Resource URI: http://kar.kent.ac.uk/id/eprint/2032 (The current URI for this page, for reference purposes)
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