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Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process
In this paper, we consider a size-dependent renewal risk model with stopping time claim-number process. In this model, we do not make any assumption on the dependence structure of claim sizes and inter-arrival times. We study large deviations of the aggregate amount of claims. For the subexponential...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400802/ https://www.ncbi.nlm.nih.gov/pubmed/28490848 http://dx.doi.org/10.1186/s13660-017-1364-5 |
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author | Zhang, Shuo Wang, Dehui Yu, Shihang |
author_facet | Zhang, Shuo Wang, Dehui Yu, Shihang |
author_sort | Zhang, Shuo |
collection | PubMed |
description | In this paper, we consider a size-dependent renewal risk model with stopping time claim-number process. In this model, we do not make any assumption on the dependence structure of claim sizes and inter-arrival times. We study large deviations of the aggregate amount of claims. For the subexponential heavy-tailed case, we obtain a precise large-deviation formula; our method substantially relies on a martingale for the structure of our models. |
format | Online Article Text |
id | pubmed-5400802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-54008022017-05-08 Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process Zhang, Shuo Wang, Dehui Yu, Shihang J Inequal Appl Research In this paper, we consider a size-dependent renewal risk model with stopping time claim-number process. In this model, we do not make any assumption on the dependence structure of claim sizes and inter-arrival times. We study large deviations of the aggregate amount of claims. For the subexponential heavy-tailed case, we obtain a precise large-deviation formula; our method substantially relies on a martingale for the structure of our models. Springer International Publishing 2017-04-21 2017 /pmc/articles/PMC5400802/ /pubmed/28490848 http://dx.doi.org/10.1186/s13660-017-1364-5 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Zhang, Shuo Wang, Dehui Yu, Shihang Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title | Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title_full | Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title_fullStr | Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title_full_unstemmed | Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title_short | Precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
title_sort | precise large deviations of aggregate claims in a size-dependent renewal risk model with stopping time claim-number process |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400802/ https://www.ncbi.nlm.nih.gov/pubmed/28490848 http://dx.doi.org/10.1186/s13660-017-1364-5 |
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