Convergence properties of perturbed Markov chains.

Roberts, G. O. and Rosenthal, J. S. and Schwartz, P. (1998) Convergence properties of perturbed Markov chains. Journal of Applied Probability, 35 (1). pp. 1-11.

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Abstract

In this paper, we consider the question of which convergence properties of Markov chains are preserved under small perturbations. Properties considered include geometric ergodicity and rates of convergence. Perturbations considered include roundoff error from computer simulation. We are motivated primarily by interest in Markov chain Monte Carlo algorithms.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Applied Probability
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? markov chainmonte carloperturbationroundoff errorgeometric convergenceconvergence ratestatistics and probabilitystatistics, probability and uncertaintygeneral mathematicsmathematics(all)qa mathematics ??
ID Code:
19472
Deposited By:
Deposited On:
14 Nov 2008 16:40
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 08:17