SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An effective algorithm for computing global sensitivity indices (EASI)
8 references·16 citing·37 second hop
An effective algorithm for computing global sensitivity indices (EASI) (2009)An effective algorithm for computing glob…Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola (2008)Global Sensitivity Analysis: …Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Estimating the approximation …Random balance designs for the estimation of first order global sensitivity indices (2005)Random balance designs for th…On the Relative Importance of Input Factors in Mathematical Models (2002)On the Relative Importance of…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…An Unbiased Correlation Ratio Measure (1935)An Unbiased Correlation Ratio…A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables (2023)A comparison between Sobol’s …GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia (2022)GlobalSensitivity.jl: Perform…A simple algorithm for global sensitivity analysis with Shapley effects (2021)A simple algorithm for global…Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy (2020)Variance-based sensitivity an…Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution (2020)Variance Reduction for Estima…A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data (2020)A Fresh Look at Variography: …Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2017)Variance-Based Sensitivity An…Different numerical estimators for main effect global sensitivity indices (2017)Different numerical estimator…Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2015)Variance-Based Sensitivity An…Measuring corporate social responsibility using composite indices: Mission impossible? The case of the electricity utility industry (2015)Measuring corporate social re…Transformations and Invariance in the Sensitivity Analysis of Computer Experiments (2013)Transformations and Invarianc…Invariant Probabilistic Sensitivity Analysis (2013)Invariant Probabilistic Sensi…Ratings and Rankings: Voodoo or Science? (2012)Ratings and Rankings: Voodoo …Bias correction for the estimation of sensitivity indices based on random balance designs (2012)Bias correction for the estim…Global sensitivity analysis: A flexible and efficient framework with an example from stochastic hydrogeology (2011)Global sensitivity analysis: …An adaptive correlation ratio method using the cumulative sum of the reordered output (2011)An adaptive correlation ratio…The Analytic Hierarchy Process (1985)Econometric Analysis of Cross Section and Panel Data (2001)Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness (2016)Enablers of sustainable supply chain management and its effect on competitive advantage in the Colombian context (2018)Quantitative Storytelling in the Making of a Composite Indicator (2020)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Sensitivity Analysis in Practice (2002)Estimation of global sensitivity indices for models with dependent variables (2011)Sobol' Indices and Shapley Value (2014)A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications (2015)Statistics for Experimenters (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Handbook on Constructing Composite Indicators (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Design and Analysis of Computer Experiments (1989)GIS and Multicriteria Decision Analysis (2000)Tools for Composite Indicators Building (2005)Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators (2005)Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis (2012)Making Hard Decisions, an Introduction to Decision Analysis (1992)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)A new uncertainty importance measure (2006)Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help? (2013)Sensitivity to Energy Technology Costs: A Multi-Model Comparison Analysis (2016)Sensitivity analysis of agent-based models: a new protocol (2022)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Weights and importance in composite indicators: Closing the gap (2017)Calculations of Sobol indices for the Gaussian process metamodel (2008)Sensitivity analysis of spatial models (2008)The Place of Statistics in Psychology (1960)Measures of explained variance: Cautions and limitations. (1982)Is Omega Squared Less Biased? a Comparison of Three Major Effect Size Indices in One-Way Anova (2013)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)
this work references cited by second hop

References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2008Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola511 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
  • 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis395 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices319 cited
  • 1935An Unbiased Correlation Ratio Measure149 cited

Cited by

  • 2012Ratings and Rankings: Voodoo or Science?349 cited
  • 2013Invariant Probabilistic Sensitivity Analysis104 cited
  • 2012Bias correction for the estimation of sensitivity indices based on random balance designs86 cited
  • 2013Transformations and Invariance in the Sensitivity Analysis of Computer Experiments82 cited
  • 2011Global sensitivity analysis: A flexible and efficient framework with an example from stochastic hydrogeology80 cited
  • 2020Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

68 cited
  • 2023A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables67 cited
  • 2017Different numerical estimators for main effect global sensitivity indices64 cited
  • 2020Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy56 cited
  • 2022GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia48 cited
  • 2015Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms39 cited
  • 2011An adaptive correlation ratio method using the cumulative sum of the reordered output35 cited
  • 2015Measuring corporate social responsibility using composite indices: Mission impossible? The case of the electricity utility industry35 cited
  • 2020A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data32 cited
  • 2017Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms31 cited
  • 2021A simple algorithm for global sensitivity analysis with Shapley effects30 cited