Convergence rates in strong ergodicity for Markov processes-Reference-Cited by-同舟云学术

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Convergence rates in strong ergodicity for Markov processes

Published:2006-12 Issue:12 Volume:116 Page:1964-1976
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Mao Yong-Hua

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference27 articles.

1. Strong uniform times and finite random walks;Aldous;Adv. Appl. Math.,1987

2. Continuous-Time Markov Chains;Anderson,1991

3. Eigenvalues in Riemannian Geometry;Chavel,1984

4. From Markov Chains to Non-equilibrium Particle Systems;Chen,1992

5. Estimation of spectral gap for Markov chains;Chen;Acta Math. Sinica New Ser.,1996

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