Abstract
The aim of this paper is to prove a central limit theorem and an invariance principle for an additive functional of an ergodic Markov chain on a general state space, with respect to the law of the chain started at a point. No irreducibility assumption nor mixing conditions are imposed; the only assumption bears on the growth of the L2-norms of the ergodic sums for the function generating the additive functional, which must be 0 (nα) with α < 1/2. The result holds almost surely with respect to the invariant probability of the chain.
| Original language | English |
|---|---|
| Pages (from-to) | 73-76 |
| Number of pages | 4 |
| Journal | Probability Theory and Related Fields |
| Volume | 125 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2003 |
ASJC Scopus subject areas
- Analysis
- Statistics and Probability
- Statistics, Probability and Uncertainty
Fingerprint
Dive into the research topics of 'The central limit theorem for Markov chains started at a point'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver