activity
20132026
most citedOpen TURNS: An industrial software for uncertainty quantification in simulation

129 citations · 138 across the 12 of their papers we have counts for

collaborators

16 papers

math.ST2026

Csiszár indices and interpolating copulas

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

We study various properties of -divergences and Csiszár indices between two probability distributions in very general setups for the convex function and for the probability…

stat.ME2025

A tree-based Polynomial Chaos expansion for surrogate modeling and sensitivity analysis of complex numerical models

Faten Ben Said, Aurélien Alfonsi, Anne Dutfoy +4

This paper introduces Tree-based Polynomial Chaos Expansion (Tree-PCE), a novel surrogate modeling technique designed to efficiently approximate complex numerical models exhibiting…

math.ST2022

Off-the-grid prediction and testing for linear combination of translated features

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

We consider a model where a signal (discrete or continuous) is observed with an additive Gaussian noise process. The signal is issued from a linear combination of a finite but incr…

stat.ML2022

Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

In this paper we observe a set, possibly a continuum, of signals corrupted by noise. Each signal is a finite mixture of an unknown number of features belonging to a continuous dict…

stat.CO2022

Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process

Guillaume Chennetier, Hassane Chraibi, Anne Dutfoy +1

Piecewise deterministic Markov processes (PDMPs) can be used to model complex dynamical industrial systems. The counterpart of this modeling capability is their simulation cost, wh…

stat.ME2022

Reparameterization of extreme value framework for improved Bayesian workflow

Théo Moins, Julyan Arbel, Stéphane Girard +1

Using Bayesian methods for extreme value analysis offers an alternative to frequentist ones, with several advantages such as easily dealing with parametric uncertainty or studying…