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 |
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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