Stable limits for Markov chains via the Principle of Conditioning
Mohamed El Machkouri,
Adam Jakubowski and
Dalibor Volný
Stochastic Processes and their Applications, 2020, vol. 130, issue 4, 1853-1878
Abstract:
We study limit theorems for partial sums of instantaneous functions of a homogeneous Markov chain on a general state space. The summands are heavy-tailed and the limits are stable distributions.
Keywords: Stable laws; Markov chains; Spectral gap; Operator uniform integrability; Principle of conditioning; Hyperbounedness (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:130:y:2020:i:4:p:1853-1878
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DOI: 10.1016/j.spa.2019.06.002
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