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A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory
7 references·16 citing·32 second hop
A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory (2015)A new framework for comprehensive, robust…What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)What do we mean by sensitivit…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Statistics for Spatial Data (1993)Statistics for Spatial DataFactorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …An annotated timeline of sensitivity analysis (2024)An annotated timeline of sens…Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency (2023)Simulation-based rescue plan …A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables (2023)A comparison between Sobol’s …sensobol : An R Package to Compute Variance-Based Sensitivity Indices (2022)sensobol : An R Package to Co…Multi‐information source Bayesian optimization of culture media for cellular agriculture (2022)Multi‐information source Baye…A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS (2021)A COMPREHENSIVE COMPARISON OF…Metafunctions for benchmarking in sensitivity analysis (2020)Metafunctions for benchmarkin…Guarantee optimization in energy performance contracting with real option analysis (2020)Guarantee optimization in ene…Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters (2020)Global Sensitivity Analysis f…A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data (2020)A Fresh Look at Variography: …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…Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques (2019)Certain trends in uncertainty…VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis (2018)VARS-TOOL: A toolbox for comp…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…Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale (2017)Insights into sensitivity ana…Challenges and Future Outlook of Sensitivity Analysis (2016)Challenges and Future Outlook…Statistics for Experimenters (1979)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)Handbook on Constructing Composite Indicators (2005)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)From screening to quantitative sensitivity analysis. A unified approach (2011)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models (2017)Distribution-based sensitivity analysis from a generic input-output sample (2018)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)How to avoid a perfunctory sensitivity analysis (2010)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)The "Stern Review" on the Economics of Climate Change (2006)How successfully is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox (2019)Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox (2019)Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach (2020)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Cluster-based GSA: Global sensitivity analysis of models with temporal or spatial outputs using clustering (2021)Sensitivity analysis: A discipline coming of age (2021)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Models with higher effective dimensions tend to produce more uncertain estimates (2022)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)Multivariable geostatistics in S: the gstat package (2004)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)
this work references cited by second hop

References

  • 1993Statistics for Spatial Data6,517 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2015What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models373 cited

Cited by

  • 2019Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques114 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
  • 2022sensobol : An R Package to Compute Variance-Based Sensitivity Indices110 cited
  • 2018VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis103 cited
  • 2018Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost87 cited
  • 2023A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables

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67 cited
  • 2021A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS58 cited
  • 2022Multi‐information source Bayesian optimization of culture media for cellular agriculture58 cited
  • 2017Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale55 cited
  • 2020Metafunctions for benchmarking in sensitivity analysis47 cited
  • 2020Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters39 cited
  • 2024An annotated timeline of sensitivity analysis35 cited
  • 2020A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data32 cited
  • 2023Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency32 cited
  • 2020Guarantee optimization in energy performance contracting with real option analysis32 cited
  • 2016Challenges and Future Outlook of Sensitivity Analysis21 cited