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The Probability of Reaching a Receding Boundary by a Branching Random Walk with Fading Branching and Heavy-Tailed Jump Distribution. / Tesemnivkov, P. I.; Foss, S. G.
в: Proceedings of the Steklov Institute of Mathematics, Том 316, № 1, 03.2022, стр. 318-335.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - The Probability of Reaching a Receding Boundary by a Branching Random Walk with Fading Branching and Heavy-Tailed Jump Distribution
AU - Tesemnivkov, P. I.
AU - Foss, S. G.
N1 - Funding Information: This work is supported by the Russian Science Foundation under grant 17-11-01173-extension. Publisher Copyright: © 2022, Pleiades Publishing, Ltd.
PY - 2022/3
Y1 - 2022/3
N2 - Foss and Zachary (2003) and Foss, Palmowski and Zachary (2005) studied the probability of achieving a receding boundary on a time interval of random length by a random walk with a heavy-tailed jump distribution. They have proposed and developed a new approach that allows one to generalise the results of Asmussen (1998) to the case of arbitrary stopping times and to a wide class of nonlinear boundaries, and to obtain uniform results over all stopping times. In this paper, we consider a class of branching random walks with fading branching and obtain results on the tail asymptotics for the maximum of a branching random walk on a time interval of random (possibly unlimited) length, as well as uniform results within a class of bounded random time intervals.
AB - Foss and Zachary (2003) and Foss, Palmowski and Zachary (2005) studied the probability of achieving a receding boundary on a time interval of random length by a random walk with a heavy-tailed jump distribution. They have proposed and developed a new approach that allows one to generalise the results of Asmussen (1998) to the case of arbitrary stopping times and to a wide class of nonlinear boundaries, and to obtain uniform results over all stopping times. In this paper, we consider a class of branching random walks with fading branching and obtain results on the tail asymptotics for the maximum of a branching random walk on a time interval of random (possibly unlimited) length, as well as uniform results within a class of bounded random time intervals.
KW - branching random walk
KW - principle of a single big jump
KW - receding boundary
KW - subexponential and strong subexponential distributions
UR - http://www.scopus.com/inward/record.url?scp=85129065009&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/aa9f2347-fc45-3334-ac9b-d091bf5cdae6/
U2 - 10.1134/S0081543822010229
DO - 10.1134/S0081543822010229
M3 - Article
AN - SCOPUS:85129065009
VL - 316
SP - 318
EP - 335
JO - Proceedings of the Steklov Institute of Mathematics
JF - Proceedings of the Steklov Institute of Mathematics
SN - 0081-5438
IS - 1
ER -
ID: 36037335