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Central Limit Theorem and Moderate deviation for nonhomogenenous Markov chains (2010.06790v1)
Published 14 Oct 2020 in math.PR, math.ST, and stat.TH
Abstract: Our purpose is to prove central limit theorem for countable nonhomogeneous Markov chain under the condition of uniform convergence of transition probability matrices for countable nonhomogeneous Markov chain in Ces`aro sense. Furthermore, we obtain a corresponding moderate deviation theorem for countable nonhomogeneous Markov chain by G\"artner-Ellis theorem and exponential equivalent method.
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