activity
20122023
most citedOn the length of one-dimensional reactive paths

11 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

stat.CO2023

Adaptive Reduced Multilevel Splitting

Frédéric Cérou, Patrick Héas, Mathias Rousset

This paper considers the classical problem of sampling with Monte Carlo methods a target rare event distribution defined by a score function that is very expensive to compute. We a…

math.NA2022

Fluctuations of Rare Event Simulation with Monte Carlo Splitting in the Small Noise Asymptotics

Frédéric Cérou, Sofiane Martel, Mathias Rousset

Diffusion processes with small noise conditioned to reach a target set are considered. The AMS algorithm is a Monte Carlo method that is used to sample such rare events by iterativ…

math.NA2022

Entropy minimizing distributions are worst-case optimal importance proposals

Frédéric Cérou, Patrick Héas, Mathias Rousset

Importance sampling of target probability distributions belonging to a given convex class is considered. Motivated by previous results, the cost of importance sampling is quantifie…

stat.ME2022

Chilled Sampling for Uncertainty Quantification: A Motivation From A Meteorological Inverse Problem

Patrick Héas, Frédéric Cérou, Mathias Rousset

Atmospheric motion vectors (AMVs) extracted from satellite imagery are the only wind observations with good global coverage. They are important features for feeding numerical weath…

math.PR2019

On Synchronized Fleming-Viot Particle Systems

Frédéric Cérou, Arnaud Guyader, Mathias Rousset

This article presents a variant of Fleming-Viot particle systems, which are a standard way to approximate the law of a Markov process with killing as well as related quantities. Cl…

math.PR2017★ 1 cited

A Central Limit Theorem for Fleming-Viot Particle Systems with Hard Killing

Bernard Delyon, Frédéric Cérou, Arnaud Guyader +1

Fleming-Viot type particle systems represent a classical way to approximate the distribution of a Markov process with killing, given that it is still alive at a final deterministic…

math.ST2012★ 9 cited

New Insights Into Approximate Bayesian Computation

Gérard Biau, Frédéric Cérou, Arnaud Guyader

Approximate Bayesian Computation (ABC for short) is a family of computational techniques which offer an almost automated solution in situations where evaluation of the posterior li…

math.PR2012★ 11 cited

On the length of one-dimensional reactive paths

Frédéric Cérou, Arnaud Guyader, Tony Lelièvre +1

Motivated by some numerical observations on molecular dynamics simulations, we analyze metastable trajectories in a very simplecsetting, namely paths generated by a one-dimensional…