Polynomial ergodicity of Markov transition kernels
- 1 January 2003
- journal article
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 103 (1) , 57-99
- https://doi.org/10.1016/s0304-4149(02)00182-5
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Polynomial Convergence Rates of Markov ChainsThe Annals of Applied Probability, 2002
- V-Subgeometric ergodicity for a Hastings–Metropolis algorithmStatistics & Probability Letters, 2000
- Geometric ergodicity of Metropolis algorithmsStochastic Processes and their Applications, 2000
- Bounds on regeneration times and convergence rates for Markov chainsStochastic Processes and their Applications, 1999
- Iterated Random FunctionsSIAM Review, 1999
- Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithmsBiometrika, 1996
- Rates of convergence of the Hastings and Metropolis algorithmsThe Annals of Statistics, 1996
- Regeneration and general Markov chainsJournal of Applied Mathematics and Stochastic Analysis, 1994
- Subexponential distributions and integrated tailsJournal of Applied Probability, 1988
- SUR UN MODÉLE AUTORÉGRESSIF NON LINÉAIRE, ERGODICITÉ ET ERGODICITÉ GÉOMÉTRIQUEJournal of Time Series Analysis, 1987