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Derivative based global sensitivity measures
16 references·8 citing·24 second hop
Derivative based global sensitivity measures (2010)Derivative based global sensitivity measu…Computing derivative-based global sensitivity measures using polynomial chaos expansions (2014)Computing derivative-based gl…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. 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 single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes (2024)A single-loop reliability sen…A novel Bayesian-inference-based method for global sensitivity analysis of system reliability with multiple failure modes (2023)A novel Bayesian-inference-ba…Multi-method global sensitivity analysis of mathematical models (2022)Multi-method global sensitivi…Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model (2022)Approach for the structural r…Estimation of small failure probability using generalized subset simulation (2021)Estimation of small failure p…Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration (2021)Data-driven and active learni…Time-dependent reliability sensitivity analysis of motion mechanisms (2016)Time-dependent reliability se…Efficient classification based methods for global sensitivity analysis (2012)Efficient classification base…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)Efficient sampling methods for global reliability sensitivity analysis (2012)Global sensitivity metrics from active subspaces (2017)Sensitivity analysis methods in the biomedical sciences (2020)How to avoid a perfunctory sensitivity analysis (2010)A new uncertainty importance measure (2006)
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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
  • 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
  • 1999The use of graph theory in the sensitivity analysis of the model output: a second order screening method130 cited

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  • 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices124 cited
  • 2014Computing derivative-based global sensitivity measures using polynomial chaos expansions116 cited
  • Cited by

    • 2016Time-dependent reliability sensitivity analysis of motion mechanisms56 cited
    • 2022Multi-method global sensitivity analysis of mathematical models45 cited
    • 2021Estimation of small failure probability using generalized subset simulation45 cited
    • 2021Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration38 cited
    • 2022Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model15 cited
    • 2023A novel Bayesian-inference-based method for global sensitivity analysis of system reliability with multiple failure modes13 cited
    • 2024A single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes13 cited
    • 2012Efficient classification based methods for global sensitivity analysis9 cited