2016
DOI: 10.1137/s0040585x97t987740
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An Exact Asymptotics for the Moment of Crossing a Curved Boundary by an Asymptotically Stable Random Walk

Abstract: Suppose that {Sn, n 0} is an asymptotically stable random walk. Let g be a positive function and Tg be the first time when Sn leaves [−g(n), ∞). In this paper we study asymptotic behavior of Tg. We provide integral tests for function g that guarantee P(Tg > n) ∼ V (g)P(T 0 > n), where T 0 is the first strict descending ladder epoch of {Sn}.

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Cited by 12 publications
(3 citation statements)
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“…Particularly, this holds for all finite constant boundaries. In Theorem 5 of [20], the concavity condition is relaxed, but a stronger summability condition is required. Specifically,it is shown that if g n , n ≥ 1 is non-increasing,…”
Section: Remarkmentioning
confidence: 99%
“…Particularly, this holds for all finite constant boundaries. In Theorem 5 of [20], the concavity condition is relaxed, but a stronger summability condition is required. Specifically,it is shown that if g n , n ≥ 1 is non-increasing,…”
Section: Remarkmentioning
confidence: 99%
“…This exponent usually does not depend on the initial position of the process under consideration. Random walks and Brownian motions have been analysed in [13,15,20,26,34,33]. For results on Gaussian processes, see [10,16,25], and references therein.…”
Section: Introductionmentioning
confidence: 99%
“…This exponent usually does not depend on the initial position of the process under consideration. Random walks and Brownian motions have been analysed in [12,17,22,29]. For results on Gaussian processes, see [9,13] and references therein.…”
Section: Introductionmentioning
confidence: 99%