activity
20162022
most citedNon-failable approximation method for conditioned distributions

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

collaborators

6 papers

math.PR2022★ 1 cited

A central limit theorem for continuous-time Markov processes conditioned not to be absorbed

William Oçafrain

This paper aims to establish a central limit theorem for Markov processes conditioned not to be absorbed under a very general assumption on quasi-stationarity for the underlying pr…

math.PR2020

An ergodic theorem for asymptotically periodic time-inhomogeneous Markov processes, with application to quasi-stationarity with moving boundaries

William Oçafrain

This paper deals with ergodic theorems for particular time-inhomogeneous Markov processes, whose the time-inhomogeneity is asymptotically periodic. Under a Lyapunov/minorization co…

math.PR2020

Convergence to quasi-stationarity through Poincaré inequalities and Bakry-Emery criteria

William Oçafrain

This paper aims to provide some tools coming from functional inequalities to deal with quasi-stationarity for absorbed Markov processes. First, it is shown how a Poincaré inequalit…

math.PR2019

Polynomial rate of convergence to the Yaglom limit for Brownian motion with drift

William Oçafrain

This paper deals with the rate of convergence in 1-Wasserstein distance of the marginal law of a Brownian motion with drift conditioned not to have reached 0 towards the Yaglom lim…

math.PR2018

Quasi-stationarity for one-dimensional renormalized Brownian motion

William Oçafrain

We are interested in the quasi-stationarity of the time-inhomogeneous Markov process X t = B t (t + 1) where (B t) t0 is a one-dimensional Brownian motion and (0…

math.PR2016★ 2 cited

Non-failable approximation method for conditioned distributions

William Oçafrain, Denis Villemonais

We consider a general method for the approximation of the distribution of a process conditioned to not hit a given set. Existing methods are based on particle system that are faila…