Markov chain convergence: From finite to infinite
- 1 March 1996
- journal article
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 62 (1) , 55-72
- https://doi.org/10.1016/0304-4149(95)00082-8
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Convergence properties of the Gibbs sampler for perturbations of GaussiansThe Annals of Statistics, 1996
- Rates of Convergence for Gibbs Sampling for Variance Component ModelsThe Annals of Statistics, 1995
- Minorization Conditions and Convergence Rates for Markov Chain Monte CarloJournal of the American Statistical Association, 1995
- Computable Bounds for Geometric Convergence Rates of Markov ChainsThe Annals of Applied Probability, 1994
- Sampling from Log-Concave DistributionsThe Annals of Applied Probability, 1994
- On the Rate of Convergence of the Metropolis Algorithm and Gibbs Sampler by Geometric BoundsThe Annals of Applied Probability, 1994
- Accelerating Gaussian DiffusionsThe Annals of Applied Probability, 1993
- A Markov chain on the symmetric group and Jack symmetric functionsDiscrete Mathematics, 1992
- Geometric Bounds for Eigenvalues of Markov ChainsThe Annals of Applied Probability, 1991
- Sampling-Based Approaches to Calculating Marginal DensitiesJournal of the American Statistical Association, 1990