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

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8 papers · 1 filter

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…

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…

math.ST2022

On the use of a local to improve MCMC convergence diagnostic

Théo Moins, Julyan Arbel, Anne Dutfoy +1

Diagnosing convergence of Markov chain Monte Carlo is crucial and remains an essentially unsolved problem. Among the most popular methods, the potential scale reduction factor, com…

math.ST2018★ 4 cited

Optimal input potential functions in the interacting particle system method

H. Chraibi, A. Dutfoy, T. Galtier +1

The assessment of the probability of a rare event with a naive Monte-Carlo method is computationally intensive, so faster estimation or variance reduction methods are needed. We fo…

math.ST2016

Fast adaptive estimation of log-additive exponential models in Kullback-Leibler divergence

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

We study the problem of nonparametric estimation of density functions with a product form on the domain $\triangle=\{( x_1, \ldots, x_d)\in \mathbb{R}^d, 0\leq x_1\leq \dots \leq x…

math.ST2016

Optimal exponential bounds for aggregation of estimators for the Kullback-Leibler loss

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

We study the problem of model selection type aggregation with respect to the Kullback-Leibler divergence for various probabilistic models. Rather than considering a convex combinat…