Moderate deviations for multidimensional aggregate claims with arbitrary dependence between claim sizes and waiting times

Consider a multidimensional renewal risk model, in which the claim sizes Xk, k≥1, form a sequence of independent and identically distributed random vectors with non negative components allowed to be dependent on each other, and the inter-arrival times form a sequence of p-extended negatively dependent random variables. By allowing arbitrary dependence between claim sizes and waiting times, we obtain the moderate deviations for the multidimensional aggregate claims with consistently varying tails.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2024-08-09
DOI
https://doi.org/10.1080/03610926.2024.2384555
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
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article

Moderate deviations for multidimensional aggregate claims with arbitrary dependence between claim sizes and waiting times

Xinmei Shen, Lei Liu
Communication in Statistics- Theory and Methods
Probability and Risk Models
article

Moderate deviations for multidimensional aggregate claims with arbitrary dependence between claim sizes and waiting times

Xinmei Shen, Lei Liu
article en

Abstract

Consider a multidimensional renewal risk model, in which the claim sizes Xk, k≥1, form a sequence of independent and identically distributed random vectors with non negative components allowed to be dependent on each other, and the inter-arrival times form a sequence of p-extended negatively dependent random variables. By allowing arbitrary dependence between claim sizes and waiting times, we obtain the moderate deviations for the multidimensional aggregate claims with consistently varying tails.

Communication in Statistics- Theory and MethodsVol. 54(10)
Dalian University of Technology (CN)
Openalex Percentile: Top 84%
Probability and Risk Models
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