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Slowly varying asymptotics for signed stochastic difference equations

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Slowly varying asymptotics for signed stochastic difference equations. / Korshunov, Dmitry.
A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday. ed. / Andreas E. Kyprianou; Loïc Chaumon. Cham: Birkhauser, 2021. p. 245-257 (Progress in Probability; Vol. 78).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Korshunov, D 2021, Slowly varying asymptotics for signed stochastic difference equations. in AE Kyprianou & L Chaumon (eds), A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday. Progress in Probability, vol. 78, Birkhauser, Cham, pp. 245-257. https://doi.org/10.1007/978-3-030-83309-1_14

APA

Korshunov, D. (2021). Slowly varying asymptotics for signed stochastic difference equations. In A. E. Kyprianou, & L. Chaumon (Eds.), A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday (pp. 245-257). (Progress in Probability; Vol. 78). Birkhauser. https://doi.org/10.1007/978-3-030-83309-1_14

Vancouver

Korshunov D. Slowly varying asymptotics for signed stochastic difference equations. In Kyprianou AE, Chaumon L, editors, A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday. Cham: Birkhauser. 2021. p. 245-257. (Progress in Probability). Epub 2021 Jul 30. doi: 10.1007/978-3-030-83309-1_14

Author

Korshunov, Dmitry. / Slowly varying asymptotics for signed stochastic difference equations. A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday. editor / Andreas E. Kyprianou ; Loïc Chaumon. Cham : Birkhauser, 2021. pp. 245-257 (Progress in Probability).

Bibtex

@inbook{69923576aee34fb9adfeef01ff5aae13,
title = "Slowly varying asymptotics for signed stochastic difference equations",
abstract = "For a stochastic difference equation D n = A n D n−1 + B n which stabilises upon time we study tail distribution asymptotics for D n under the assumption that the distribution of log(1+|A1|+|B1|) is heavy-tailed, that is, all its positive exponential moments are infinite. The aim of the present paper is three-fold. Firstly, we identify the asymptotic behaviour not only of the stationary tail distribution but also of D n. Secondly, we solve the problem in the general setting when A takes both positive and negative values. Thirdly, we get rid of auxiliary conditions like finiteness of higher moments introduced in the literature before.",
author = "Dmitry Korshunov",
year = "2021",
month = dec,
day = "1",
doi = "10.1007/978-3-030-83309-1_14",
language = "English",
isbn = "9783030833084",
series = "Progress in Probability",
publisher = "Birkhauser",
pages = "245--257",
editor = "Kyprianou, {Andreas E.} and Lo{\"i}c Chaumon",
booktitle = "A Lifetime of Excursions Through Random Walks and L{\'e}vy Processes",

}

RIS

TY - CHAP

T1 - Slowly varying asymptotics for signed stochastic difference equations

AU - Korshunov, Dmitry

PY - 2021/12/1

Y1 - 2021/12/1

N2 - For a stochastic difference equation D n = A n D n−1 + B n which stabilises upon time we study tail distribution asymptotics for D n under the assumption that the distribution of log(1+|A1|+|B1|) is heavy-tailed, that is, all its positive exponential moments are infinite. The aim of the present paper is three-fold. Firstly, we identify the asymptotic behaviour not only of the stationary tail distribution but also of D n. Secondly, we solve the problem in the general setting when A takes both positive and negative values. Thirdly, we get rid of auxiliary conditions like finiteness of higher moments introduced in the literature before.

AB - For a stochastic difference equation D n = A n D n−1 + B n which stabilises upon time we study tail distribution asymptotics for D n under the assumption that the distribution of log(1+|A1|+|B1|) is heavy-tailed, that is, all its positive exponential moments are infinite. The aim of the present paper is three-fold. Firstly, we identify the asymptotic behaviour not only of the stationary tail distribution but also of D n. Secondly, we solve the problem in the general setting when A takes both positive and negative values. Thirdly, we get rid of auxiliary conditions like finiteness of higher moments introduced in the literature before.

U2 - 10.1007/978-3-030-83309-1_14

DO - 10.1007/978-3-030-83309-1_14

M3 - Chapter (peer-reviewed)

SN - 9783030833084

T3 - Progress in Probability

SP - 245

EP - 257

BT - A Lifetime of Excursions Through Random Walks and Lévy Processes

A2 - Kyprianou, Andreas E.

A2 - Chaumon, Loïc

PB - Birkhauser

CY - Cham

ER -