Bounds on regeneration times and convergence rates for Markov chainsfn1fn1Work supported in part by NSF Grant DMS 9504561 and EPSRC grant GR/J19900.-Reference-Cited by-同舟云学术

Bounds on regeneration times and convergence rates for Markov chainsfn1fn1Work supported in part by NSF Grant DMS 9504561 and EPSRC grant GR/J19900.

Published:1999-04 Issue:2 Volume:80 Page:211-229
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Roberts G.O.,Tweedie R.L.

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference15 articles.

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4. Jerrum, M., Sinclair, A., 1996. The Markov chain Monte Carlo method: an approach to approximate counting and integration, 1996. In: Dorit, H. (Ed.), Approximation Algorithms for NP-Hard Problems, PWS, Boston, MA, pp. 482–520.

5. Kannan, R., 1994. Markov chains and polynomial time algorithms. Proc. 35th Annual IEEE Symp. on Foundations of Computer Science, Computer Society Press, pp. 656–671.

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