A NOTE ON THE CLASS OF GEOMETRIC COUNTING PROCESSES

Author:

Cha Ji Hwan,Finkelstein Maxim

Abstract

In this paper, we suggest a new class of counting processes, called the Class of Geometric Counting Processes (CGCP), where each member of the counting process in the class has increments described by the geometric distribution. Distinct from the Poisson process, they do not possess the property of independent increments, which usually complicates probabilistic analysis. The suggested CGCP is defined and the dependence structure shared by the members of the class is discussed. As examples of useful applications, we consider stochastic survival models under external shocks. We show that the corresponding survival probabilities under reasonable assumptions can be effectively described by the CGCP without specifying the dependence structure.

Publisher

Cambridge University Press (CUP)

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Cyclic Random Motion in $$\mathbb {R}^3$$ Driven by Geometric Counting Processes;Methodology and Computing in Applied Probability;2024-04-16

2. Shock models governed by an inverse gamma mixed Poisson process;Probability in the Engineering and Informational Sciences;2023-12-15

3. On the Telegraph Process Driven by Geometric Counting Process with Poisson-Based Resetting;Journal of Statistical Physics;2023-11-24

4. Some Poisson-Based Processes at Geometric Times;Journal of Statistical Physics;2023-05-29

5. On Some Finite-Velocity Random Motions Driven by the Geometric Counting Process;Journal of Statistical Physics;2023-01-02

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