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Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions
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Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions (2020)Fighting the Curse of Sparsity: Probabili…Handbook of Uncertainty Quantification (2016)Handbook of Uncertainty Quant…Variable importance analysis: A comprehensive review (2015)Variable importance analysis:…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…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…Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Uncertainty and sensitivity a…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…The Proof and Measurement of Association between Two Things (1904)The Proof and Measurement of …Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A new uncertainty importance measure (2006)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)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)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)SALib: An open-source Python library for Sensitivity Analysis (2017)Empirical Model Building and Response Surfaces (1988)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration (2014)
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References

  • 1904The Proof and Measurement of Association between Two Things8,010 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 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
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal735 cited
  • 2016Handbook of Uncertainty Quantification588 cited

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  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
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