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Derivative-Based Global Sensitivity Measures
16 references·0 citing·24 second hop
Derivative-Based Global Sensitivity Measures (2015)Derivative-Based Global Sensitivity Measu…Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests (2013)Derivative-based global sensi…A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices (2010)A new derivative based import…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis Challenges in Biological Systems Modeling (2009)Global Sensitivity Analysis C…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Monte Carlo evaluation of derivative-based global sensitivity measures (2008)Monte Carlo evaluation of der…Global Sensitivity Analysis (2008)Global Sensitivity AnalysisGlobal Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Global sensitivity indices for nonlinear mathematical models. Review (2005)Global sensitivity indices fo…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…The use of graph theory in the sensitivity analysis of the model output: a second order screening method (1999)The use of graph theory in th…Analysis of variance designs for model output (1999)Analysis of variance designs …Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)From screening to quantitative sensitivity analysis. A unified approach (2011)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Global sensitivity analysis using polynomial chaos expansions (2007)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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)How to avoid a perfunctory sensitivity analysis (2010)A new uncertainty importance measure (2006)Rickety numbers: Volatility of university rankings and policy implications (2010)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Guidance on Communication of Uncertainty in Scientific Assessments (2019)
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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
  • 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
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2008Global Sensitivity Analysis415 cited
  • 2008Monte Carlo evaluation of derivative-based global sensitivity measures294 cited
  • 2005Global sensitivity indices for nonlinear mathematical models. Review155 cited
  • 2009Global Sensitivity Analysis Challenges in Biological Systems Modeling144 cited
  • 2013Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests135 cited
  • 1999

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The use of graph theory in the sensitivity analysis of the model output: a second order screening method
130 cited
  • 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices124 cited
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