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ArticleAn effective algorithm for computing global sensitivity indices (EASI)

Elmar Plischke A2009

Article2009

An effective algorithm for computing global sensitivity indices (EASI)

Elmar Plischke A

134 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Optimal Experimental Design Methods Gaussian Processes and Bayesian Inference

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References

2007Global Sensitivity Analysis. The Primer 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output 2002Making best use of model evaluations to compute sensitivity indices 2008Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola 2002On the Relative Importance of Input Factors in Mathematical Models 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis 2005Random balance designs for the estimation of first order global sensitivity indices 1935An Unbiased Correlation Ratio Measure

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2012Ratings and Rankings: Voodoo or Science?2013Invariant Probabilistic Sensitivity Analysis 2012Bias correction for the estimation of sensitivity indices based on random balance designs 2013Transformations and Invariance in the Sensitivity Analysis of Computer Experiments 2011Global sensitivity analysis: A flexible and efficient framework with an example from stochastic hydrogeology

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Details

Year2009

Typearticle

Published2009-11-25

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations134

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2009.11.005

openalex_workW2116572416

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2020Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution

2023A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables

2017Different numerical estimators for main effect global sensitivity indices