The central limit theorem for Markov chains started at a point

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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.

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APA

Derriennic, Y., & Lin, M. (2003). The central limit theorem for Markov chains started at a point. Probability Theory and Related Fields, 125(1), 73–76. https://doi.org/10.1007/s004400200215

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