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).
Full text not available from this repository.
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.
|Subjects:||Q Science > QA Mathematics
H Social Sciences > HA Statistics
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||11 May 2007|
|Last Modified:||02 Mar 2012 12:47|
|Contributors:||Roberts, G.O. (Author)
Sahu, S.K. (Author)
|Contact Email Address:||email@example.com|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)