[PDF] Top 20 Global sensitivity analysis of computer models with functional inputs
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Global sensitivity analysis of computer models with functional inputs
... Abstract Global sensitivity analysis is used to quantify the influence of uncertain input parame- ters on the response variability of a numerical ...appropriate with ... Voir le document complet
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Global sensitivity analysis of stochastic computer models with generalized additive models
... 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 ... 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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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 ... 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 ... Voir le document complet
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Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes
... based functional risk curve estimation Classical methods described in Section ...the functional dependence of Y on the other uncertain variables ...(sample of Y of size N ) are obtained ... Voir le document complet
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New statistical methodology for second level global sensitivity analysis
... Use of dependence measures for GSA1. Among GSA1 tools [25 ], one of the most popular methods used in industrial applications is based on a variance decomposition of the output [ 38 ...The ... Voir le document complet
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A practical method of global sensitivity analysis under constraints
... a Global Sensitivity Analysis (GSA) for computer models is proposed in this ...conjunction with a D-optimal computer experiment ...cost of a single computer ... Voir le document complet
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An efficient methodology for the analysis and modeling of computer experiments with large number of inputs
... Complex computer codes are often too time expensive to be directly used to perform uncertainty, sensitivity, optimization and robustness anal- ...expensive computer models by cpu inexpensive ... 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 ...a ... Voir le document complet
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Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE.
... (WRA). Sensitivity analysis (SA) links portions of output variance to the variance in each input ...variable. Global SA (GSA) explores inputs ...means of the quasi-Monte Carlo ... 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
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Global reliability-oriented sensitivity analysis under distribution parameter uncertainty
... simulation computer code may be represented as an input-output black-box ...characteristics of the launcher and some conditions (initial or arising during the flight) of the fallout ...These ... Voir le document complet
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Global sensitivity analysis for optimization with variable selection
... the sensitivity analysis, with the best point known in the literature being X ∗ = ...results of the 10000 optimization ...version of the problem has a degraded optimum, f (X) = 2966731, ... Voir le document complet
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Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
... computation of Sobol’ indices with the thermal-hydraulic code would have required tens of thousands of code ...interpretation of the results obtained with the screening step and ... Voir le document complet
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Global sensitivity analysis for models with spatially dependent outputs
... maps of variance- based sensitivity indices (such as the Sobol’ indices) for numerical models giving spatial maps as ...issue with our method is due to the reduced number of model ... Voir le document complet
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Sequential designs for sensitivity analysis of functional inputs in computer experiments
... data with functional input is func- tional linear regression (see Ramsay and Silverman [1]), a framework to ap- proximate, analyze and predict data with functional ...design of ... Voir le document complet
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Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
... assessment of the uncertainties tainting the results of computer simulations is nowa- days a major topic of interest in both industrial and scientific ...One of the key issues in such ... 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 ...case of dependent ...variance-based sensitivity indices with the Fourier ... Voir le document complet
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Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics
... reading of the different steps of the proof shows that Theorem ...and with more general second variable (X 2 , ...proof of our CLT is a bit long and technical and is postponed to the Appendix ... Voir le document complet
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