Rates of convergence for Markov chains associated with Dirichlet processes.

Roberts, Gareth O. and Petrone, S. and Rosenthal, Jeffrey S. (2000) Rates of convergence for Markov chains associated with Dirichlet processes. Far East Journal of Theoretical Statistics, 4 (2). pp. 207-236. ISSN 0972-0863

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Abstract

We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “parallel Monte Carlo” should be more widely used. We consider a number of issues that arise, including dealing with slow or unreliable computers. We also discuss the possibilities of parallel Markov chain Monte Carlo. We illustrate our results with actual computer experiments.

Item Type:
Journal Article
Journal or Publication Title:
Far East Journal of Theoretical Statistics
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa
Subjects:
?? PARALLEL COMPUTINGDISTRIBUTED COMPUTINGPARALLEL MONTE CARLOMARKOV CHAIN MONTE CARLOGIBBS SAMPLERMETROPOLIS-HASTINGS ALGORITHMESTIMATION.QA MATHEMATICS ??
ID Code:
19366
Deposited By:
Deposited On:
17 Nov 2008 17:00
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Nov 2022 18:31