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Change of support effects in spatial variance-based sensitivity analysis
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE -
Ranking sources of uncertainty in flood damage modelling: a case study on the...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS -
Global sensitivity analysis of a model for economic assesment of flood risk
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE -
Uncertainties assessment in global sensitivity indices estimation from metamo...
International audience -
On ANOVA decomposition and Sobol' indices estimation. Application to a marine...
In the fields of modelization and numerical simulation, simulators generally depend on several input parameters whose impact on the model outputs are not always well... -
Understanding LCA results variability: developing global sensitivity analysis...
International audience -
The fanovaGraph Package: Visualization of Interaction Structures and Construc...
FANOVA graphs have a broad range of application in model interpretation, sensitivity analysis and analysis of computer experiments. They give a clear and easy to... -
New sensitivity analysis subordinated to a contrast
International audience -
Global Sensitivity Analysis: a tool to analyse LCA variability of energy systems
International audience -
Total interaction index: A variance-based sensitivity index for second-order ...
Sensitivity analysis aims at exploring which of a number of variables have an impact on a certain response. Not only are the individual variables of interest but also... -
Characterization of process-oriented hydrologic model behavior with temporal ...
International audience -
Sensitivity analysis for multidimensional and functional outputs
International audience -
Weighing the importance of model uncertainty against parameter uncertainty in...
International audience -
Combining meta-modeling and categorical indicators for global sensitivity ana...
International audience -
Generalized Sobol sensitivity indices for dependent variables
A mathematical model aims at characterizing a complex system or process that is too expensive to experiment. However, in this model, often strongly non linear, input... -
Randomized pick-freeze for sparse Sobol indices estimation in high dimension
This article investigates a new procedure to estimate the influence of each variable of a given function defined on a high-dimensional space. More precisely, we are...
