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Moment convergence of first-passage times in renewal theory

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  • Iksanov, Alexander
  • Marynych, Alexander
  • Meiners, Matthias

Abstract

Let ξ1,ξ2,… be independent copies of a positive random variable ξ, S0=0, and Sk=ξ1+…+ξk, k∈N. Define N(t)=inf{k∈N:Sk>t} for t≥0. The process (N(t))t≥0 is the first-passage time process associated with (Sk)k≥0. It is known that if the law of ξ belongs to the domain of attraction of a stable law or P(ξ>t) varies slowly at ∞, then N(t), suitably shifted and scaled, converges in distribution as t→∞ to a random variable W with a stable law or a Mittag-Leffler law. We investigate whether there is convergence of the power and exponential moments to the corresponding moments of W. Further, the analogous problem for first-passage times of subordinators is considered.

Suggested Citation

  • Iksanov, Alexander & Marynych, Alexander & Meiners, Matthias, 2016. "Moment convergence of first-passage times in renewal theory," Statistics & Probability Letters, Elsevier, vol. 119(C), pages 134-143.
  • Handle: RePEc:eee:stapro:v:119:y:2016:i:c:p:134-143
    DOI: 10.1016/j.spl.2016.07.019
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    References listed on IDEAS

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    1. Frank Aurzada & Alexander Iksanov & Matthias Meiners, 2015. "Exponential moments of first passage times and related quantities for Lévy processes," Mathematische Nachrichten, Wiley Blackwell, vol. 288(17-18), pages 1921-1938, December.
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    Cited by:

    1. Dang, Chao & Xu, Jun, 2020. "Unified reliability assessment for problems with low- to high-dimensional random inputs using the Laplace transform and a mixture distribution," Reliability Engineering and System Safety, Elsevier, vol. 204(C).

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