activity
20192022
most citedImprovement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2022

Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates

Julien Demange-Chryst, François Bachoc, Jérôme Morio

Some classical uncertainty quantification problems require the estimation of multiple expectations. Estimating all of them accurately is crucial and can have a major impact on the…

math.ST2022

Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling

Julien Demange-Chryst, François Bachoc, Jérôme Morio

Reliability-oriented sensitivity analysis aims at combining both reliability and sensitivity analyses by quantifying the influence of each input variable of a numerical model on a…

stat.CO2021

Optimal projection to improve parametric importance sampling in high dimension

Maxime ElMasri, Jérôme Morio, Florian Simatos

In this paper we propose a dimension-reduction strategy in order to improve the performance of importance sampling in high dimension. The idea is to estimate variance terms in a sm…

stat.CO2020★ 4 cited

Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation

Maxime El-Masri, Jérôme Morio, Florian Simatos

Rare event probability estimation is an important topic in reliability analysis. Stochastic methods, such as importance sampling, have been developed to estimate such probabilities…

stat.ML2020★ 1 cited

Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes

Morgane Menz, Sylvain Dubreuil, Jérôme Morio +3

Running a reliability analysis on engineering problems involving complex numerical models can be computationally very expensive, requiring advanced simulation methods to reduce the…

math.ST2019

Simultaneous estimation of complementary moment independent sensitivity measures for reliability analysis

Pierre Derennes, Jerome Morio, Florian Simatos

In reliability-based design, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to…