activity
20092022
most citedApproximation of quasi-stationary distributions for 1-dimensional killed diffusions with unbounded drifts

4 citations · 7 across the 3 of their papers we have counts for

collaborators

10 papers

math.PR20221 cited

Quasi-limiting estimates for periodic absorbed Markov chains

Nicolas Champagnat, Denis Villemonais

We consider periodic Markov chains with absorption. Applying to iterates of this periodic Markov chain criteria for the exponential convergence of conditional distributions of aper…

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.PR2019

Practical criteria for R-positive recurrence of unbounded semigroups

Nicolas Champagnat, Denis Villemonais

The goal of this note is to show how recent results on the theory of quasi-stationary distributions allow to deduce effortlessly general criteria for the geometric convergence of n…

math.PR2018

Convergence of the Fleming-Viot process toward the minimal quasi-stationary distribution

Nicolas Champagnat, Denis Villemonais

We prove under mild conditions that the Fleming-Viot process selects the minimal quasi-stationary distribution for Markov processes with soft killing on non-compact state spaces. O…

math.PR2018

Stochastic Methods for the Neutron Transport Equation I: Linear Semigroup asymptotics

Emma Horton, Andreas E. Kyprianou, Denis Villemonais

The Neutron Transport Equation (NTE) describes the flux of neutrons through an inhomogeneous fissile medium. In this paper, we reconnect the NTE to the physical model of the spatia…

math.PR2018

Stochastic approximation on non-compact measure spaces and application to measure-valued Pólya processes

Cécile Mailler, Denis Villemonais

Our main result is to prove almost-sure convergence of a stochastic-approximation algorithm defined on the space of measures on a non-compact space. Our motivation is to apply this…