## Probability Surveys

### On the Markov chain central limit theorem

Galin L. Jones

#### Abstract

The goal of this expository paper is to describe conditions which guarantee a central limit theorem for functionals of general state space Markov chains. This is done with a view towards Markov chain Monte Carlo settings and hence the focus is on the connections between drift and mixing conditions and their implications. In particular, we consider three commonly cited central limit theorems and discuss their relationship to classical results for mixing processes. Several motivating examples are given which range from toy one-dimensional settings to complicated settings encountered in Markov chain Monte Carlo.

#### Article information

Source
Probab. Surveys Volume 1 (2004), 299-320.

Dates
First available in Project Euclid: 29 December 2004

https://projecteuclid.org/euclid.ps/1104335301

Digital Object Identifier
doi:10.1214/154957804100000051

Mathematical Reviews number (MathSciNet)
MR2068475

Zentralblatt MATH identifier
1189.60129

#### Citation

Jones, Galin L. On the Markov chain central limit theorem. Probab. Surveys 1 (2004), 299--320. doi:10.1214/154957804100000051. https://projecteuclid.org/euclid.ps/1104335301

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