Add to ORKG(will be inserted by the editor) Global sensitivity analysis of stochastic computer models with joint metamodel
This thesis provides insight on Uncertainty Quantification (UQ) and Global Sensitivity Analysis (GSA...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...
Practices for global sensitivity analysis of model output are described in a recent textbook (Saltel...
The global sensitivity analysis method used to quantify the influence of uncertain input variables o...
UnpublishedThe global sensitivity analysis method, used to quantify the influence of uncertain input...
A novel practical method to conduct a Global Sensitivity Analysis (GSA) for computer models is propo...
International audienceThe global sensitivity analysis method used to quantify the influence of uncer...
AbstractTo perform the global sensitivity analysis of a complex and cpu time expensive code, a mathe...
International audienceGlobal sensitivity analysis is used to quantify the influence of uncertain inp...
International audienceGlobal sensitivity analysis is now established as a powerful approach for dete...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
Global sensitivity analysis offers a set of tools tailored to the impact assessment of certain assum...
Models of biophysical processes are often time-consuming and their inputs are frequently correlated....
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
International audienceGlobal sensitivity analysis is often impracticable for complex and resource in...
This thesis provides insight on Uncertainty Quantification (UQ) and Global Sensitivity Analysis (GSA...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...
Practices for global sensitivity analysis of model output are described in a recent textbook (Saltel...
The global sensitivity analysis method used to quantify the influence of uncertain input variables o...
UnpublishedThe global sensitivity analysis method, used to quantify the influence of uncertain input...
A novel practical method to conduct a Global Sensitivity Analysis (GSA) for computer models is propo...
International audienceThe global sensitivity analysis method used to quantify the influence of uncer...
AbstractTo perform the global sensitivity analysis of a complex and cpu time expensive code, a mathe...
International audienceGlobal sensitivity analysis is used to quantify the influence of uncertain inp...
International audienceGlobal sensitivity analysis is now established as a powerful approach for dete...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
Global sensitivity analysis offers a set of tools tailored to the impact assessment of certain assum...
Models of biophysical processes are often time-consuming and their inputs are frequently correlated....
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
International audienceGlobal sensitivity analysis is often impracticable for complex and resource in...
This thesis provides insight on Uncertainty Quantification (UQ) and Global Sensitivity Analysis (GSA...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...
Practices for global sensitivity analysis of model output are described in a recent textbook (Saltel...