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Sobol’ main effect index: an Innovative Algorithm (IA) using Dynamic Adaptive Variances
16 references·2 citing·25 second hop
Sobol’ main effect index: an Innovative Algorithm (IA) using Dynamic Adaptive Variances (2021)Sobol’ main effect index: an Innovative A…Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Why so many published sensiti…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…Global sensitivity measures from given data (2012)Global sensitivity measures f…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Sensitivity analysis of spatial models (2008)Sensitivity analysis of spati…Monte Carlo evaluation of derivative-based global sensitivity measures (2008)Monte Carlo evaluation of der…Calculations of Sobol indices for the Gaussian process metamodel (2008)Calculations of Sobol indices…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…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…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Reliability-oriented global sensitivity analysis using subset simulation and space partition (2023)Reliability-oriented global s…Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model (2022)Approach for the structural r…Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Random forests for global sensitivity analysis: A selective review (2020)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Statistics for Experimenters (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Handbook on Constructing Composite Indicators (2005)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Why Most Published Research Findings Are False (2005)Sensitivity analysis methods in the biomedical sciences (2020)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)From screening to quantitative sensitivity analysis. A unified approach (2011)A new uncertainty importance measure (2006)Tools for Composite Indicators Building (2005)An effective screening design for sensitivity analysis of large models (2007)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 2019Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices827 cited
  • 2012Global sensitivity measures from given data430 cited
  • 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis395 cited
  • 2008Calculations of Sobol indices for the Gaussian process metamodel331 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices319 cited
  • 2008

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Monte Carlo evaluation of derivative-based global sensitivity measures
294 cited
  • 2008Sensitivity analysis of spatial models277 cited
  • Cited by

    • 2023Reliability-oriented global sensitivity analysis using subset simulation and space partition21 cited
    • 2022Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model15 cited