具有任意依赖结构的非标准多维风险模型的向量型精确大偏差

IF 0.6 3区 数学 Q3 MATHEMATICS
B. Geng, S. Wang, W. Zhu
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引用次数: 0

摘要

考虑一个非标准多维风险模型,在该模型中,来自所有业务线的索赔规模,共享一个共同的索赔到达续期流程,构成了一系列独立且相同分布的非负随机向量,假设共同的到达间隔时间是任意依赖的,并且索赔规模向量与其等待时间之间的依赖关系也允许是任意的。此外,来自不同业务线的索赔规模应该是负相关的。在一定的温和条件下,本文得到了该多维风险模型在索赔规模占支配地位变化情况下的总索赔的矢量型精确大偏差公式。所得结果扩展了文献中已有的一些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vector-type precise large deviations for a nonstandard multidimensional risk model with some arbitrary dependence structures

Consider a nonstandard multidimensional risk model in which the claim sizes from all lines of businesses, sharing a common claim-arrival renewal process, constitute a sequence of independent and identically distributed nonnegative random vectors, the common inter-arrival times are assumed to be arbitrarily dependent and the dependence between claim size vectors and their waiting times are also allowed to be arbitrary. Moreover, the claim sizes from different lines of businesses are supposed to be extended negatively dependent. Under some mild conditions, this paper achieves some vector-type precise large deviation formulae for aggregate claims of such multidimensional risk model in the presence of dominatedly-varying claim sizes. The obtained results extend some existing ones in the literature.

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
77
审稿时长
4-8 weeks
期刊介绍: Acta Mathematica Hungarica is devoted to publishing research articles of top quality in all areas of pure and applied mathematics as well as in theoretical computer science. The journal is published yearly in three volumes (two issues per volume, in total 6 issues) in both print and electronic formats. Acta Mathematica Hungarica (formerly Acta Mathematica Academiae Scientiarum Hungaricae) was founded in 1950 by the Hungarian Academy of Sciences.
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