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https://elib.bsu.by/handle/123456789/291851
Title: | On large excursions probabilities for Gaussian copula vector processes. Applications in reliability and finance |
Authors: | Piterbarg, V. I. Alieva, P. N. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
Issue Date: | 2022 |
Publisher: | Minsk : BSU |
Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 168-171. |
Abstract: | We study an asymptotic behavior of the ruin probability P( max t∈[0,T] Q n (t) > x T ), t = 0,1,2,..., for T = 0 and large x = x0 (instant ruin probability) and for large both T and x T (global ruin probability). The random process Qn(t) models portfolio Qn(t) = ∑n i=1 λiXi(t), where Xi(t),i = 1,...,n, are independent random sequences, they can be interpreted as the financial loss amount in time claimed from the ith direct insurer or as reliability index of components of a technical system. Weights λi, i = 1,...n, are the proportionality factors of the risks being shared. It is assumed that the risks Xi(t), i = 1,...,n, are Weibull like in a sense that they are similar to Weibull ones in terms of the probability of producing large values. |
URI: | https://elib.bsu.by/handle/123456789/291851 |
ISBN: | 978-985-881-420-5 |
Licence: | info:eu-repo/semantics/restrictedAccess |
Appears in Collections: | 2022. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
File | Description | Size | Format | |
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168-171.pdf | 347,27 kB | Adobe PDF | View/Open |
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