The mixed negative binomial process risk model with small claims stochastic process and ruin probability

If the random variable changes with time, we can consider it a stochastic process. The stochastic claims process is particularly important in insurance, where the frequency of claims is a random variable. Classical risk models typically assume that the number of claims by insurance companies follows an (a, b, 0) type distribution. In practice, however, the number of claims is often an over-dispersed or heavy-tailed phenomenon. To compensate for this deficiency, mixed distributions have been proposed. This article discusses the lapse probability of a general compound mixed negative binomial small claims process risk model based on a negative binomial mixture distribution.

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Publication Details

Journal
Thermal Science
Published
2025-01-01
DOI
https://doi.org/10.2298/tsci2503041y
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00

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article

The mixed negative binomial process risk model with small claims stochastic process and ruin probability

Min Xiao, Haowei Yuan
Thermal Science
Probability and Risk Models
article

The mixed negative binomial process risk model with small claims stochastic process and ruin probability

Min Xiao, Haowei Yuan
article en

Abstract

If the random variable changes with time, we can consider it a stochastic process. The stochastic claims process is particularly important in insurance, where the frequency of claims is a random variable. Classical risk models typically assume that the number of claims by insurance companies follows an (a, b, 0) type distribution. In practice, however, the number of claims is often an over-dispersed or heavy-tailed phenomenon. To compensate for this deficiency, mixed distributions have been proposed. This article discusses the lapse probability of a general compound mixed negative binomial small claims process risk model based on a negative binomial mixture distribution.

Thermal ScienceVol. 29(3 Part A)
Zaozhuang University (CN), Zhejiang Gongshang University (CN)
Zhejiang Gongshang University, National Natural Science Foundation of China, Zaozhuang University
Decent work and economic growth
Openalex Percentile: Top 84%
Probability and Risk Models
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The mixed negative binomial process risk model with small claims stochastic process and ruin probability — Min Xiao, Haowei Yuan · Thermal Science (2025) | TGRS Research Map | TGRS