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


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 (Statistical Methodology), 59, (2), 291-317. (doi:10.1111/1467-9868.00070).

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Original Publication URL: http://dx.doi.org/10.1111/1467-9868.00070

Description/Abstract

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.

Item Type: Article
ISSNs: 0035-9246 (print)
Related URLs:
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 30018
Date Deposited: 11 May 2007
Last Modified: 27 Mar 2014 18:18
URI: http://eprints.soton.ac.uk/id/eprint/30018

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