Add to ORKGInternational audienceWe define and study a generalization of Sobol sensitivity indices for the case of a vector output.Nous définissons et étudions une généralisation des indices de Sobol pour des sorties vectorielles
International audienceMany mathematical models involve input parameters, which are not precisely kno...
Abstract: In this paper, we consider a regression model built on depen-dent variables. This regressi...
Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfoi...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
International audienceLet X:=(X1,…,Xp) be random objects (the inputs), defined on some probability s...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
International audienceThe hierarchically orthogonal functional decomposition of any measurable funct...
A novel approach to estimate variance based sensitivity indices for the case of correlated variables...
International audienceTwo new sensitivity indices are presented which give an original solution to t...
International audienceIn the field of sensitivity analysis of model outputs, the most popular method...
International audienceIn this paper, we introduce new indices adapted to outputs valued in general m...
A mathematical model aims at characterizing a complex system or process that is too expensive to exp...
In a model of the form Y = h(X1,..., Xd) where the goal is to es-timate a parameter of the probabili...
The estimation of variance-based importance measures (called Sobol' indices) of the input variables ...
The variance-based method of global sensitivity indices based on Sobol' sensitivity indices became v...
International audienceMany mathematical models involve input parameters, which are not precisely kno...
Abstract: In this paper, we consider a regression model built on depen-dent variables. This regressi...
Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfoi...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
International audienceLet X:=(X1,…,Xp) be random objects (the inputs), defined on some probability s...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
International audienceThe hierarchically orthogonal functional decomposition of any measurable funct...
A novel approach to estimate variance based sensitivity indices for the case of correlated variables...
International audienceTwo new sensitivity indices are presented which give an original solution to t...
International audienceIn the field of sensitivity analysis of model outputs, the most popular method...
International audienceIn this paper, we introduce new indices adapted to outputs valued in general m...
A mathematical model aims at characterizing a complex system or process that is too expensive to exp...
In a model of the form Y = h(X1,..., Xd) where the goal is to es-timate a parameter of the probabili...
The estimation of variance-based importance measures (called Sobol' indices) of the input variables ...
The variance-based method of global sensitivity indices based on Sobol' sensitivity indices became v...
International audienceMany mathematical models involve input parameters, which are not precisely kno...
Abstract: In this paper, we consider a regression model built on depen-dent variables. This regressi...
Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfoi...