Global Central Limit Theorems for Stationary Markov Chains

Abstract Let P be a Markov operator on a general state space ( S , Σ) with an invariant probability measure m , assumed to be ergodic. We study conditions which yield that for every centered non-zero f ∈ L 2 ( m ) a non-degenerate annealed CLT and an L 2 -normalized CLT hold.

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Publication Details

Journal
Annales Mathematicae Silesianae
Published
2025-05-20
DOI
https://doi.org/10.2478/amsil-2025-0011
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
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article

Global Central Limit Theorems for Stationary Markov Chains

Michael Lin
Annales Mathematicae Silesianae
Markov Chains and Monte Carlo Methods
article

Global Central Limit Theorems for Stationary Markov Chains

Michael Lin
article en

Abstract

Abstract Let P be a Markov operator on a general state space ( S , Σ) with an invariant probability measure m , assumed to be ergodic. We study conditions which yield that for every centered non-zero f ∈ L 2 ( m ) a non-degenerate annealed CLT and an L 2 -normalized CLT hold.

Annales Mathematicae SilesianaeVol. 39(2)
Ben-Gurion University of the Negev (IL)
Openalex Percentile: Top 89%
Markov Chains and Monte Carlo Methods
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Global Central Limit Theorems for Stationary Markov Chains — Michael Lin · Annales Mathematicae Silesianae (2025) | TGRS Research Map | TGRS