Results 241 to 250 of about 2,456,167 (285)

Global Sensitivity Analysis via Optimal Transport

Management Science
We examine the construction of variable importance measures for multivariate responses using the theory of optimal transport. We start with the classical optimal transport formulation. We show that the resulting sensitivity indices are well-defined under input dependence, are equal to zero under statistical independence, and are maximal under fully ...
Borgonovo, Emanuele, Figalli, Alessio, Plischke, Elmar, Savaré, Giuseppe   +3 more
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Global nonlinear sensitivity analysis using walsh functions

Journal of Computational Physics, 1981
Abstract A new global nonlinear sensitivity analysis method is developed to investigate the sensitivity of solutions of mathematical models to large uncertainties in the parameters of the model. The method is exact for discrete models where the parameter variation is intrinsically two valued, and exact for continuous models where a two valued ...
Pierce, T. H., Cukier, R. I.
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Global sensitivity analysis in dynamic metabolic networks

Computers & Chemical Engineering, 2009
Abstract In this work, we have performed global sensitivity analysis on a large-scale dynamic metabolic network through variance-based techniques. Time profiles for sensitivity indices have been calculated for each parameter, based on Sobol’ approach (2001) .
Jimena Di Maggio, Juan C. Diaz Ricci, M. Soledad Diaz   +2 more
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Global Sensitivity Analysis for ABS

2012
In the previous chapter, we looked at the ratings variability due to model choice and parameter values. In the present chapter, we are going to investigate the ratings parameter sensitivity further by applying global sensitivity analysis techniques. Sensitivity analysis is a powerful methodology for analyzing how the uncertainty in the output can be ...
Francesca Campolongo, Henrik Jönsson, Wim Schoutens   +2 more
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Global Sensitivity Analysis

2017
After completing an uncertainty analysis , the next step is a global sensitivity analysis .
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Global Optimization and Sensitivity Analysis

Nuclear Science and Engineering, 1990
A new direction for the analysis of nonlinear models of nuclear systems is suggested to overcome fundamental limitations of sensitivity analysis and optimization methods currently prevalent in nucl...
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Global sensitivity analysis of groundwater transport

Journal of Hydrology, 2015
Summary In this work we address the model and parametric sensitivity of groundwater transport using the Lagrangian-Stochastic Advection–Reaction (LaSAR) methodology. The ‘attenuation index’ is used as a relevant and convenient measure of the coupled transport mechanisms. The coefficients of variation (CV) for seven uncertain parameters are assumed to
V. Cvetkovic, S. Soltani, G. Vigouroux
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Analysing DSGE Models with Global Sensitivity Analysis

Computational Economics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Sensitivity Analysis for Mixture Experiments

Technometrics, 2012
A mixture experiment is characterized by having two or more inputs that are specified as a percentage contribution to a total amount of material. In such situations, the input variables are correlated because they must sum to one. Consequently, additional care must be taken when fitting statistical models or visualizing the effect of one or more inputs
Jason L. Loeppky, Brian J. Williams, Leslie M. Moore   +2 more
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Global Sensitivity Analysis for Stochastic Collocation

51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference<BR> 18th AIAA/ASME/AHS Adaptive Structures Conference<BR> 12th, 2010
Non-intrusive stochastic expansion methods for uncertainty quantication (UQ) has received a great deal of attention the past decade because of their rigorous mathematical foundations and their ability to e ciently accurately characterize the probablilistic metrics of complex engineering systems.
Gary Tang, Gianluca Iaccarino, Michael Eldred   +2 more
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