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Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction
16 references·7 citing·36 second hop
Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction (2022)Efficient global sensitivity analysis for…Random forests for global sensitivity analysis: A selective review (2020)Random forests for global sen…Uncertainty Management in Simulation-Optimization of Complex Systems (2015)Uncertainty Management in Sim…Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Global sensitivity analysis-e…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…Variance-based sensitivity indices for models with dependent inputs (2011)Variance-based sensitivity in…Estimation of global sensitivity indices for models with dependent variables (2011)Estimation of global sensitiv…Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models (2010)Multivariate sensitivity anal…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Sensitivity analysis when model outputs are functions (2006)Sensitivity analysis when mod…Random balance designs for the estimation of first order global sensitivity indices (2005)Random balance designs for th…Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Analytical Variance-Based Glo…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Global sensitivity analysis—a computational implementation of the Fourier Amplitude Sensitivity Test (FAST) (1982)Global sensitivity analysis—a…Efficient global reliability sensitivity method by combining dimensional reduction integral with stochastic collocation (2025)Efficient global reliability …Dimension-independent single-loop Monte Carlo simulation method for estimate of Sobol’ indices in variance-based sensitivity analysis (2025)Dimension-independent single-…Non-probabilistic sensitivity analysis method for multi-input-multi-output structures considering correlations (2024)Non-probabilistic sensitivity…A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis (2024)A novel single-loop estimatio…Uncertainty quantification in low-probability response estimation using sliced inverse regression and polynomial chaos expansion (2023)Uncertainty quantification in…Reliability-oriented global sensitivity analysis using subset simulation and space partition (2023)Reliability-oriented global s…An efficient method for accessing structural reliability indexes via power transformation family (2023)An efficient method for acces…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)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)Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Nonlinear sensitivity analysis of multiparameter model systems (1978)Uncertainty Analysis of Transport-Transformation Models (1999)Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis (2010)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)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)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Making best use of model evaluations to compute sensitivity indices (2002)Calculations of Sobol indices for the Gaussian process metamodel (2008)Sensitivity analysis of spatial models (2008)Ratings and Rankings: Voodoo or Science? (2012)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)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study (2013)Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2014)The Complexities of Agent-Based Modeling Output Analysis (2015)17. A Value for n-Person Games (1953)A priori error estimates for local reliability-based sensitivity analysis with Monte Carlo Simulation (2021)A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables (2023)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Handbook on Constructing Composite Indicators (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
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
  • 2020Random forests for global sensitivity analysis: A selective review366 cited
  • 2011Estimation of global sensitivity indices for models with dependent variables347 cited
  • 1982Global sensitivity analysis—a computational implementation of the Fourier Amplitude Sensitivity Test (FAST)320 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices319 cited
  • 2011Variance-based sensitivity indices for models with dependent inputs246 cited
  • 2010Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models243 cited
  • 2004Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty230 cited
  • 2015Uncertainty Management in Simulation-Optimization of Complex Systems192 cited

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  • 2015Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis185 cited
  • 2006Sensitivity analysis when model outputs are functions162 cited
  • Cited by

    • 2023Uncertainty quantification in low-probability response estimation using sliced inverse regression and polynomial chaos expansion29 cited
    • 2025Dimension-independent single-loop Monte Carlo simulation method for estimate of Sobol’ indices in variance-based sensitivity analysis21 cited
    • 2023Reliability-oriented global sensitivity analysis using subset simulation and space partition21 cited
    • 2023An efficient method for accessing structural reliability indexes via power transformation family17 cited
    • 2024Non-probabilistic sensitivity analysis method for multi-input-multi-output structures considering correlations16 cited
    • 2024A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis16 cited
    • 2025Efficient global reliability sensitivity method by combining dimensional reduction integral with stochastic collocation11 cited