Walker, Stephen G., Lijoi, Antonio, 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. (doi:10.1214/009053606000001361) (KAR id:2032)
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Official URL: 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 |
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DOI/Identification number: | 10.1214/009053606000001361 |
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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Stephen Holland |
Date Deposited: | 19 Dec 2007 19:24 UTC |
Last Modified: | 16 Nov 2021 09:40 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/2032 (The current URI for this page, for reference purposes) |
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