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Benchmarking Active Subspace methods of global sensitivity analysis against variance-based Sobol' and Morris methods with established test functions
16 references·0 citing·24 second hop
Benchmarking Active Subspace methods of global sensitivity analysis against variance-based Sobol' and Morris methods with established test functions (2022)Benchmarking Active Subspace methods of g…The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)The Future of Sensitivity Ana…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…Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Global Sensitivity Analysis o…A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)A simple and efficient method…Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Monte-Carlo based uncertainty…From screening to quantitative sensitivity analysis. A unified approach (2011)From screening to quantitativ…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis (2008)Global Sensitivity AnalysisAn effective screening design for sensitivity analysis of large models (2007)An effective screening design…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…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…Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Sensitivity measures,anova-li…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …The Proof and Measurement of Association between Two Things (1904)The Proof and Measurement of …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)Variable importance analysis: A comprehensive review (2015)Statistics for Experimenters (1979)Handbook on Constructing Composite Indicators (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)Why Most Published Research Findings Are False (2005)Sensitivity analysis: A discipline coming of age (2021)Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations (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)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration (2014)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)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)
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References

  • 1904The Proof and Measurement of Association between Two Things8,010 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
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 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
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2017SALib: An open-source Python library for Sensitivity Analysis1,544 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2020The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support632 cited
  • 1997Sensitivity measures,anova-like Techniques and the use of bootstrap546 cited
  • 2015A simple and efficient method for global sensitivity analysis based on cumulative distribution functions512 cited
  • 2011From screening to quantitative sensitivity analysis. A unified approach431 cited
  • 2008Global Sensitivity Analysis415 cited

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  • 2016Global Sensitivity Analysis of environmental models: Convergence and validation394 cited
  • 2012Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence388 cited
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