scispace - formally typeset
B

Bertrand Cloez

Researcher at Institut national de la recherche agronomique

Publications -  44
Citations -  819

Bertrand Cloez is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Markov process & Population. The author has an hindex of 14, co-authored 39 publications receiving 664 citations. Previous affiliations of Bertrand Cloez include French Institute for Research in Computer Science and Automation & SupAgro.

Papers
More filters
Journal ArticleDOI

Exponential ergodicity for Markov processes with random switching

TL;DR: In this article, the convergence to equilibrium in terms of Wasserstein distance has been studied for piecewise deterministic Markov processes with two components, where the first component evolves according to one of finitely many underlying Markovian dynamics, with a choice of dynamics that changes at the jump times of the second component.
Journal ArticleDOI

Exponential ergodicity for Markov processes with random switching

TL;DR: In this article, the convergence to equilibrium in terms of Wasserstein distance has been studied for piecewise deterministic Markov processes with two components, where the first component evolves according to one of finitely many underlying Markovian dynamics, with a choice of dynamics that changes at the jump times of the second component.
Journal ArticleDOI

Perspectives in Mathematical Modelling for Microbial Ecology

TL;DR: In this paper, the current state of mathematical modelling in microbial ecology, looking back at the developments that have defined the synergies between the disciplines, and outline some of the existing challenges that motivate us to provide practical models in the hope that greater engagement with empiricists and practitioners in the microbiological domain may be achieved.
Journal ArticleDOI

Limit theorems for some branching measure-valued processes

TL;DR: In this article, the authors considered a particle system in continuous time, a discrete population, with spatial motion, and nonlocal branching, and determined the asymptotic behavior of the particle system using a size-biased auxiliary process.
Journal ArticleDOI

Ergodic Behavior of Non-conservative Semigroups via Generalized Doeblin’s Conditions

TL;DR: In this paper, the authors provide quantitative estimates in total variation distance for positive semi-groups, which can be non-conservative and non-homogeneous, based on a family of conservative semigroups that describes a typical particle and Doeblin's type conditions for coupling the associated process.