[PDF] Top 20 Global sensitivity analysis for models with spatially dependent outputs
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Global sensitivity analysis for models with spatially dependent outputs
... Spatial global sensitivity analysis 1 INTRODUCTION Today, in different environments, there are sites with groundwater contaminated because of an inappropriate handling or disposal of hazardous ... Voir le document complet
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Latin Hypercube Sampling of Gaussian random field for Sobol' global sensitivity analysis of models with spatial inputs and scalar output
... Keywords: global sensitivity analysis; Latin Hypercube Sampling; Gaussian random field; unconditionnal simulation ...NTRODUCTION Sensitivity analysis (SA) techniques are increasingly ... Voir le document complet
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Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models
... relevant for the estimation of the Shapley effects, since they do not provide block-diagonal ...matrix with a similar structure to compute the deduced Shapley ... Voir le document complet
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Comparative sensitivity analysis of four distributed erosion models
... account for the respective effects of slope and tillage directions on runoff [Souchere et ...event-based spatially distributed erosion model [Cerdan et al., 2002a, 2002b] with empirical inputs in the ... Voir le document complet
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Global sensitivity analysis of a model for economic assesment of flood risk
... Sobol’ global sensitivity analysis (GSA) was initially designed for the study of models with scalar inputs and outputs, while many models in the en- vironmental ... Voir le document complet
7
Global Sensitivity Analysis for Uncertain Parameters Applied to a Cardiac Mitochondrial Model
... condition, for instance an addition of cytoplas- mic ...comparison with models in the literature, it is still impossible to calibrate it to fit experimental ...data. For this reason, we first ... Voir le document complet
5
Global sensitivity analysis with 2d hydraulic codes: applied protocol and practical tool
... hydraulic models input parameters has been developed and tested over the low Var river ...simulation for uncertainty propagation step of a ...approach for identification of most influent uncertain ... Voir le document complet
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Variance-based sensitivity indices of computer models with dependent inputs: The Fourier Amplitude Sensitivity Test
... the global sensitivity analysis of computer models with independent ...allow for treating the case of dependent ...variance-based sensitivity indices with ... Voir le document complet
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A global sensitivity analysis approach for marine biogeochemical modeling
... approach for global sensitivity anal- ysis (SA), in the context of marine ...suited for ocean biogeochemical models, which make use of numerous parameters within large sets of ... Voir le document complet
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Sensitivity analysis and uncertainty quantification for environmental models
... Environmental models often involve complex dynamic and spatial inputs and ...and sensitivity analyses ...dynamic models based on a reduced-basis approximation of PDEs and we show how the error on the ... Voir le document complet
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A practical method of global sensitivity analysis under constraints
... Introduction Global Sensitivity Analysis (GSA) is de…ned as the study of how the output un- certainty of a computer model can be allocated to di¤erent sources of uncertainty in the model inputs ... Voir le document complet
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Introducing context-dependent and spatially-variant viewing biases in saccadic models
... features. For instance, city images usually have strong vertical and horizontal edges due to the presence of man-made structures (Vailaya et ...This global knowledge of scene layout provides observers ... Voir le document complet
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Sensitivity analysis of spatial models using geostatistical simulation
... under-estimating sensitivity indices of Z(u). 7 Conclusion Variance-based global sensitivity analysis (GSA) was performed on a simple example of a spa- tially distributed model Y=M(X,Z) ... Voir le document complet
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Generalized Hoeffding-Sobol Decomposition for Dependent Variables - Application to Sensitivity Analysis
... IPDV models, summands of the decomposition are estimated thanks to projection ...test models, we observe the importance of con- sidering the inputs correlation, and show how our method could catch ... Voir le document complet
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ANOVA decomposition of conditional Gaussian processes for sensitivity analysis with dependent inputs
... Keywords: Sensitivity analysis, dependent inputs, Gaussian process regression, functional decomposition, complex computer ...complex models implemented in computer ... Voir le document complet
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Sensitivity analysis of distributed erosion models - Application to four models
... [1] for sensitivity analysis to four very different distributed erosion models (MHYDAS, STREAM, PESERA, ...samples. Sensitivity to spatial distributions of erosion parameters was ... Voir le document complet
2
Global Sensitivity Analysis of Stochastic Computer Models with joint metamodels
... The global sensitivity analysis method, used to quantify the influence of uncertain input variables on the response variability of a numerical model, is applicable to deterministic computer code ... Voir le document complet
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Global sensitivity analysis of computer models with functional inputs
... pute sensitivity indices. This solution is not applicable for time consuming computer ...estimated sensitivity indices are not the expected ones due to changes in the model structure carrying out by ... Voir le document complet
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Global Sensitivity Analysis with 2D Hydraulic Codes: Application on Uncertainties Related to High-Resolution Topographic Data
... Elevation Models (DEM) incorporating thin above ground elements influencing overland flow ...look for optimizing spatial discretization resolu- tion in order to improve flood models computation ... Voir le document complet
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Reduced-order models for parameter dependent geometries based on shape sensitivity analysis
... literature for laminar flows over obstacles considering a range of Reynolds numbers [5] ...used sensitivity analysis in the basis selection process to enlarge the set of solu- tions that can be ... Voir le document complet
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