Extending Doob's consistency theorem to nonparametric densities

Lijoi, Antonio and Prunster, Igor and Walker, Stephen G. (2004) Extending Doob's consistency theorem to nonparametric densities. Bernoulli, 10 (4). pp. 651-663. ISSN 1350-7265. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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We extend Doob's well-known result on Bayesian consistency The extension covers the case where the nonparametric prior is fully supported by densities. However, our use of martingales differs from that of Doob. We also consider rates.

Item Type: Article
Additional information: This paper extends the Doob theorem for Bayesian consistency to infinite dimensional models. The proof relies on a different type of martingale to the one used by Doob.
Uncontrolled keywords: consistency; Hellinger distance; martingale; rate of convergence
Subjects: H Social Sciences > HA Statistics
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 19 Dec 2007 18:21
Last Modified: 25 Jun 2014 10:47
Resource URI: https://kar.kent.ac.uk/id/eprint/585 (The current URI for this page, for reference purposes)
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