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Teoriya Veroyatnostei i ee Primeneniya, 2022, Volume 67, Issue 2, Pages 365–383
DOI: https://doi.org/10.4213/tvp5430
(Mi tvp5430)
 

Local tail asymptotics for the joint distribution of the length and of the maximum of a random walk excursion

E. Perfileva, V. Wañhtelb

a Institut für Mathematik, Universität Augsburg, Augsburg, Germany
b Fakultät für Mathematik, Universität Bielefeld, Bielefeld, Germany
References:
Abstract: This note is devoted to the study of the maximum of the excursion of a random walk with negative drift and light-tailed increments. More precisely, we determine the local asymptotics of the joint distribution of the length, the maximum, and the time at which this maximum is achieved. This result allows one to obtain a local central limit theorem for the length of the excursion conditioned on large values of the maximum.
Keywords: random walk, excursion, Cramér–Lundberg, exponential change of measure.
Received: 16.08.2020
Revised: 12.01.2022
Accepted: 17.01.2022
English version:
Theory of Probability and its Applications, 2022, Volume 67, Issue 2, Pages 294–309
DOI: https://doi.org/10.1137/S0040585X97T990939
Bibliographic databases:
Document Type: Article
Language: English
Citation: E. Perfilev, V. Wañhtel, “Local tail asymptotics for the joint distribution of the length and of the maximum of a random walk excursion”, Teor. Veroyatnost. i Primenen., 67:2 (2022), 365–383; Theory Probab. Appl., 67:2 (2022), 294–309
Citation in format AMSBIB
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\by E.~Perfilev, V.~Wañhtel
\paper Local tail asymptotics for the joint distribution of the length and of the maximum of a~random walk excursion
\jour Teor. Veroyatnost. i Primenen.
\yr 2022
\vol 67
\issue 2
\pages 365--383
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\crossref{https://doi.org/10.4213/tvp5430}
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\zmath{https://zbmath.org/?q=an:7573886}
\transl
\jour Theory Probab. Appl.
\yr 2022
\vol 67
\issue 2
\pages 294--309
\crossref{https://doi.org/10.1137/S0040585X97T990939}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85165243858}
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  • https://www.mathnet.ru/eng/tvp/v67/i2/p365
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    Òåîðèÿ âåðîÿòíîñòåé è åå ïðèìåíåíèÿ Theory of Probability and its Applications
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