International audienceIn the field of sensitivity analysis of model outputs, the most popular methods are those based on the variance decomposition of the output, such as the Sobol’ indices, as they allow defining easy-to-interpret indices measuring the contribution of each input variable to the overall output dispersion. However, these indices are not adapted to the analysis of the impact of inputs on output quantities characterizing extreme events, such as a failure probability, a quantile or a failure domain
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
International audienceFragility curves express the failure probability of a structure, or a critical...
International audienceIn the field of sensitivity analysis of model outputs, the most popular method...
International audienceIn this paper, we present perturbed law-based sensitivity indices and how to a...
International audienceReliability-oriented sensitivity analysis methods have been developed for unde...
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...
Les études de fiabilité des structures ont recours à des approches probabilistes permettant de quant...
Sobol' sensitivity indeices, used in variance based global sensitivity analysis of model output, are...
In the context of black-box numerical codes, it is relevant to use sensitivity analysis in order to ...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
Abstract. In this paper, we address the problem of evaluating goodness-of-fit indices in structural ...
The issue of perturbations in real or simulated data has been substantially neglected in evaluating ...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
International audienceFragility curves express the failure probability of a structure, or a critical...
International audienceIn the field of sensitivity analysis of model outputs, the most popular method...
International audienceIn this paper, we present perturbed law-based sensitivity indices and how to a...
International audienceReliability-oriented sensitivity analysis methods have been developed for unde...
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...
Les études de fiabilité des structures ont recours à des approches probabilistes permettant de quant...
Sobol' sensitivity indeices, used in variance based global sensitivity analysis of model output, are...
In the context of black-box numerical codes, it is relevant to use sensitivity analysis in order to ...
International audienceWe define and study a generalization of Sobol sensitivity indices for the case...
Abstract. In this paper, we address the problem of evaluating goodness-of-fit indices in structural ...
The issue of perturbations in real or simulated data has been substantially neglected in evaluating ...
International audienceIn a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a p...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
International audienceFragility curves express the failure probability of a structure, or a critical...