International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a parameter of the probability distribution of $Y$, we define new sensitivity indices which quantify the importance of each variable $X_i$ with respect to this parameter of interest. The aim of this paper is to define {\it goal oriented sensitivity indices} and we will show that Sobol indices are sensitivity indices associated to a particular characteristic of the distribution $Y$. We name the framework we present as {\it Goal Oriented Sensitivity Analysis} (GOSA)
Sensitivity analysis plays an important role in reliability evaluation, structural optimization and ...
In this paper, we introduce new indices adapted to outputs valued in general metric spaces. This new...
International audienceMany mathematical models involve input parameters, which are not precisely kno...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
In a model of the form Y = h(X1,..., Xd) where the goal is to es-timate a parameter of the probabili...
International audienceLet $X:=(X_1, \ldots, X_p)$ be random objects (the inputs), defined on some pr...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
International audiencePhysical phenomena are commonly modeled by numerical simulators. Such codes ca...
In many disciplines, a complex system is modeled by a black box function whose purpose is to mimic t...
41 pagesIn this paper we address the problem of efficient estimation of Sobol sensitivy indices. Fir...
International audienceIn this paper, we consider a regression model built on dependent variables. Th...
A mathematical model aims at characterizing a complex system or process that is too expensive to exp...
Sensitivity analysis of a numerical model, for instance simulating physical phenomena, is useful to ...
International audienceTwo new sensitivity indices are presented which give an original solution to t...
International audienceThe hierarchically orthogonal functional decomposition of any measurable funct...
Sensitivity analysis plays an important role in reliability evaluation, structural optimization and ...
In this paper, we introduce new indices adapted to outputs valued in general metric spaces. This new...
International audienceMany mathematical models involve input parameters, which are not precisely kno...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
In a model of the form Y = h(X1,..., Xd) where the goal is to es-timate a parameter of the probabili...
International audienceLet $X:=(X_1, \ldots, X_p)$ be random objects (the inputs), defined on some pr...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
International audiencePhysical phenomena are commonly modeled by numerical simulators. Such codes ca...
In many disciplines, a complex system is modeled by a black box function whose purpose is to mimic t...
41 pagesIn this paper we address the problem of efficient estimation of Sobol sensitivy indices. Fir...
International audienceIn this paper, we consider a regression model built on dependent variables. Th...
A mathematical model aims at characterizing a complex system or process that is too expensive to exp...
Sensitivity analysis of a numerical model, for instance simulating physical phenomena, is useful to ...
International audienceTwo new sensitivity indices are presented which give an original solution to t...
International audienceThe hierarchically orthogonal functional decomposition of any measurable funct...
Sensitivity analysis plays an important role in reliability evaluation, structural optimization and ...
In this paper, we introduce new indices adapted to outputs valued in general metric spaces. This new...
International audienceMany mathematical models involve input parameters, which are not precisely kno...