A generating function approach to Markov chains undergoing binomial catastrophes - Archive ouverte HAL
Article Dans Une Revue Journal of Statistical Mechanics: Theory and Experiment Année : 2021

A generating function approach to Markov chains undergoing binomial catastrophes

Résumé

In a Markov chain population model subject to catastrophes, random immigration events (birth), promoting growth, are in balance with the effect of binomial catastrophes that cause recurrent mass removal (death). Using a generating function approach, we study two versions of such population models when the binomial catastrophic events are of a slightly different random nature. In both cases, we describe the subtle balance between the two birth and death conflicting effects.

Dates et versions

hal-03138177 , version 1 (11-02-2021)

Identifiants

Citer

Branda Goncalves, Thierry Huillet. A generating function approach to Markov chains undergoing binomial catastrophes. Journal of Statistical Mechanics: Theory and Experiment, 2021, 3, pp.033402. ⟨10.1088/1742-5468/abdfcb⟩. ⟨hal-03138177⟩
46 Consultations
0 Téléchargements

Altmetric

Partager

More