4.3 Article

Central limit theorem for Markov processes with spectral gap in the Wasserstein metric

期刊

STOCHASTIC PROCESSES AND THEIR APPLICATIONS
卷 122, 期 5, 页码 2155-2184

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.spa.2012.03.006

关键词

Central limit theorem; Markov process; Wasserstein metric

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Suppose that {X-l, t >= 0} is a non-stationary Markov process, taking values in a Polish metric space E. We prove the law of large numbers and central limit theorem for an additive functional of the form integral(T)(0) Psi (X-s)ds, provided that the dual transition probability semigroup, defined on measures, is strongly contractive in an appropriate Wasserstein metric. Function Psi is assumed to be Lipschitz on E. (C) 2012 Elsevier B.V. All rights reserved.

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