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This article is cited in 4 scientific papers (total in 4 papers)
Large-Deviation Probabilities for One-Dimensional Markov Chains. Part 3: Prestationary Distributions in the Subexponential Case
A. A. Borovkov, D. A. Korshunov Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences
Abstract:
This paper continues investigations of A. A. Borovkov and D. A. Korshunov [Theory Probab. Appl., 41 (1996), pp. 1–24 and 45 (2000), pp. 379–405]. We consider a time-homogeneous Markov chain $\{X(n)\}$ that takes values on the real line and has increments which do not possess exponential moments. The asymptotic behavior of the probability ${\mathbf P}\{X(n)\ge x\}$ is studied as $x\to\infty$ for fixed values of time $n$ and for unboundedly growing $n$ as well.
Keywords:
Markov chain, asymptotic behavior of large-deviation probabilities, subexponential distribution, invariant measure, integrated distribution tail.
Received: 23.07.1999
Citation:
A. A. Borovkov, D. A. Korshunov, “Large-Deviation Probabilities for One-Dimensional Markov Chains. Part 3: Prestationary Distributions in the Subexponential Case”, Teor. Veroyatnost. i Primenen., 46:4 (2001), 640–657; Theory Probab. Appl., 46:4 (2002), 603–618
Linking options:
https://www.mathnet.ru/eng/tvp3792https://doi.org/10.4213/tvp3792 https://www.mathnet.ru/eng/tvp/v46/i4/p640
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