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Model emulation and moment-independent sensitivity analysis: An application to environmental modelling
16 references·16 citing·27 second hopsampled
Model emulation and moment-independent sensitivity analysis: An application to environmental modelling (2011)Model emulation and moment-independent se…Design and Analysis of Simulation Experiments (2015)Design and Analysis of Simula…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Kriging metamodeling in simulation: A review (2007)Kriging metamodeling in simul…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…An effective screening design for sensitivity analysis of large models (2007)An effective screening design…A new uncertainty importance measure (2006)A new uncertainty importance …Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…On the Relative Importance of Input Factors in Mathematical Models (2002)On the Relative Importance of…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…Foundations for Financial Economics. (1989)Foundations for Financial Eco…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Foundations for Financial Economics (1988)Foundations for Financial Eco…What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling (2019)What has Global Sensitivity A…A review of quantification methodologies for multi-hazard interrelationships (2019)A review of quantification me…Sensitivity Analysis Based on Cramér--von Mises Distance (2018)Sensitivity Analysis Based on…Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost (2018)Global sensitivity analysis f…An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy (2018)An efficient method for momen…Multivariate global sensitivity analysis for dynamic models based on wavelet analysis (2017)Multivariate global sensitivi…A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling (2017)A Taylor Expansion‐Based Adap…Global sensitivity analysis using a Gaussian Radial Basis Function metamodel (2016)Global sensitivity analysis u…Non-parametric methods for global sensitivity analysis of model output with dependent inputs (2015)Non-parametric methods for gl…Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations (2014)Polynomial chaos expansions f…Generalized Sobol sensitivity indices for dependent variables: numerical methods (2014)Generalized Sobol sensitivity…Sensitivity study of dynamic systems using polynomial chaos (2012)Sensitivity study of dynamic …Sampling strategies in density-based sensitivity analysis (2012)Sampling strategies in densit…Monte Carlo simulation for moment-independent sensitivity analysis (2012)Monte Carlo simulation for mo…Efficient sampling methods for global reliability sensitivity analysis (2012)Efficient sampling methods fo…A Bayesian sensitivity analysis applied to an Agent-based model of bird population response to landscape change (2012)A Bayesian sensitivity analys…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)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)Handbook on Constructing Composite Indicators (2005)Stochastic Finite Elements: A Spectral Approach (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)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)Bayesian Experimental Design: A Review (1995)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Sensitivity analysis: A review of recent advances (2015)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)From screening to quantitative sensitivity analysis. A unified approach (2011)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Bayesian analysis of computer code outputs: A tutorial (2006)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2007Kriging metamodeling in simulation: A review1,278 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 1989Foundations for Financial Economics.831 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal735 cited
  • 1988Foundations for Financial Economics492 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited

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  • 2015Design and Analysis of Simulation Experiments356 cited
  • Cited by

    • 2019A review of quantification methodologies for multi-hazard interrelationships363 cited
    • 2012Efficient sampling methods for global reliability sensitivity analysis157 cited
    • 2012Monte Carlo simulation for moment-independent sensitivity analysis120 cited
    • 2015Non-parametric methods for global sensitivity analysis of model output with dependent inputs116 cited
    • 2014Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations115 cited
    • 2019What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling110 cited
    • 2018Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost87 cited
    • 2018An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy76 cited
    • 2014Generalized Sobol sensitivity indices for dependent variables: numerical methods76 cited
    • 2018Sensitivity Analysis Based on Cramér--von Mises Distance75 cited
    • 2017A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling72 cited
    • 2017Multivariate global sensitivity analysis for dynamic models based on wavelet analysis66 cited
    • 2012Sampling strategies in density-based sensitivity analysis66 cited
    • 2012Sensitivity study of dynamic systems using polynomial chaos60 cited
    • 2016Global sensitivity analysis using a Gaussian Radial Basis Function metamodel59 cited
    • 2012A Bayesian sensitivity analysis applied to an Agent-based model of bird population response to landscape change52 cited