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Discrepancy Measures for Global Sensitivity Analysis
16 references·0 citing·21 second hop
Discrepancy Measures for Global Sensitivity Analysis (2024)Discrepancy Measures for Global Sensitivi…The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)The Future of Sensitivity Ana…Five ways to ensure that models serve society: a manifesto (2020)Five ways to ensure that mode…Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Why so many published sensiti…SALib: An open-source Python library for Sensitivity Analysis (2017)SALib: An open-source Python …Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Sensitivity analysis of envir…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)A simple and efficient method…Sobol' Indices and Shapley Value (2014)Sobol' Indices and Shapley Va…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A new uncertainty importance measure (2006)A new uncertainty importance …Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Analysis of variance designs for model output (1999)Analysis of variance designs …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…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)Variable importance analysis: A comprehensive review (2015)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)“Opening Up” and “Closing Down” (2007)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)Stochastic Kriging for Simulation Metamodeling (2009)A Review on Global Sensitivity Analysis Methods (2015)How to avoid a perfunctory sensitivity analysis (2010)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)The Exploratory Modeling Workbench: An open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making (2017)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity analysis using polynomial chaos expansions (2007)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2017SALib: An open-source Python library for Sensitivity Analysis1,544 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2005Design and Modeling for Computer Experiments1,135 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2019Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices827 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2020The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support632 cited
  • 2015A simple and efficient method for global sensitivity analysis based on cumulative distribution functions512 cited
  • 2020

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Five ways to ensure that models serve society: a manifesto
491 cited
  • 2014Sobol' Indices and Shapley Value268 cited
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