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Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler

Record type: Article

In this paper many convergence issues concerning the implementation of the Gibbs sampler are investigated. Exact computable rates of convergence for Gaussian target distributions are obtained. Different random and non-random updating strategies and blocking combinations are compared using the rates. The effect of dimensionality and correlation structure on the convergence rates are studied. Some examples are considered to demonstrate the results. For a Gaussian image analysis problem several updating strategies are described and compared. For problems in Bayesian linear models several possible parameterizations are analysed in terms of their convergence rates characterizing the optimal choice.

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Citation

Roberts, G.O. and Sahu, S.K. (1997) Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler Journal of the Royal Statistical Society. Series B: Methodological, 59, (2), pp. 291-317. (doi:10.1111/1467-9868.00070).

More information

Published date: 1997
Organisations: Statistics

Identifiers

Local EPrints ID: 30018
URI: http://eprints.soton.ac.uk/id/eprint/30018
ISSN: 0035-9246
PURE UUID: 67906d9f-01e0-4c06-bf56-301cb5e74863
ORCID for S.K. Sahu: ORCID iD orcid.org/0000-0003-2315-3598

Catalogue record

Date deposited: 11 May 2007
Last modified: 17 Jul 2017 15:56

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Contributors

Author: G.O. Roberts
Author: S.K. Sahu ORCID iD

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