activity
20202022
most citedA generating function approach to Markov chains undergoing binomial catastrophes

4 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

math.PR2022★ 1 cited

Perfect simulation for interacting Hawkes processes with variable length memory

Branda Goncalves, Paul Gresland

We consider a nonlinear multivariate Hawkes process having a variable length memory which allows to describe the activity of a neuronal network by its membrane potential. We propos…

math.PR2021

Scaling features of two special Markov chains involving total disasters

Branda Goncalves, Thierry Huillet

Catastrophe Markov chain population models have received a lot of attention in the recent past. We herewith consider two special cases of such models involving total disasters, bot…

cond-mat.stat-mech2021★ 4 cited

A generating function approach to Markov chains undergoing binomial catastrophes

Branda Goncalves, Thierry Huillet

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…

math.PR2020★ 2 cited

On decay-surge population models

Branda Goncalves, Thierry Huillet, Eva Löcherbach

We consider continuous space-time decay-surge population models which are semi- stochastic processes for which deterministically declining populations, bound to fade away, are rein…

math.PR2020

On population growth with catastrophes

Branda Goncalves, Thierry Huillet, Eva Löcherbach

In this paper we study a particular class of Piecewise deterministic Markov processes (PDMP's) which are semi-stochastic catastrophe versions of deterministic population growth mod…