activity
20032026
most citedGeneralized Urn Models of Evolutionary Processes

37 citations · 54 across the 14 of their papers we have counts for

collaborators

16 papers

math.PR2026

On the occupation measure of evolution models with vanishing mutations

Michel Benaïm, Mario Bravo, Mathieu Faure

We study the almost sure convergence of the occupation measure of evolution models where mutation rates decrease over time. We show that if the mutation parameter vanishes at a con…

math.DS2023★ 4 cited

A note on the top Lyapunov exponent of linear cooperative systems

Michel Benaïm, Claude Lobry, Tewfik Sari +1

In a recent paper [Asymptotic of the largest Floquet multiplier for cooperative matrices Annales de la Faculté des Sciences de Toulouse, Tome XXXI, no 4 (2022)] P. Carmona gives an…

math.PR2019

Analysis of an Adaptive Biasing Force method based on self-interacting dynamics

Michel Benaïm, Charles-Edouard Bréhier, Pierre Monmarché

This article fills a gap in the mathematical analysis of Adaptive Biasing algorithms, which are extensively used in molecular dynamics computations. Given a reaction coordinate, id…

math.PR2019

Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain

Michel Benaïm, Nicolas Champagnat, Denis Villemonais

We study a random process with reinforcement, which evolves following the dynamics of a given diffusion process in a bounded domain and is resampled according to its occupation mea…

math.PR2018

A user-friendly condition for exponential ergodicity in randomly switched environments

Michel Benaïm, Tobias Hurth, Edouard Strickler

We consider random switching between finitely many vector fields leaving positively invariant a compact set. Recently, Li, Liu and Cui showed that if one the vector fields has a gl…

math.PR2016★ 1 cited

Generic Behaviour of Strongly Reinforced Polya Urns : Convergence and Stability

Arnab Basu, Michel Benaim

We consider, as proposed and studied in Hofstad et.\ al.\ \cite{HHKR}, a class of graph-based "interacting urn"-type Polya urn model inspired by neuronal processing in the brain wh…