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Global sensitivity analysis for assessing the parameters importance and setting a stopping criterion in a biomedical inverse problem
16 references·0 citing·25 second hop
Global sensitivity analysis for assessing the parameters importance and setting a stopping criterion in a biomedical inverse problem (2021)Global sensitivity analysis for assessing…Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Sensitivity analysis of envir…A Matlab toolbox for Global Sensitivity Analysis (2015)A Matlab toolbox for Global S…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Sensitivity analysis practices: Strategies for model-based inference (2006)Sensitivity analysis practice…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Sensitivity Anaysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ing…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…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…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Factorial Sampling Plans for Preliminary Computational Experiments (1991)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)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)Imprecise probabilities in engineering analyses (2013)Variable importance analysis: A comprehensive review (2015)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)SALib: An open-source Python library for Sensitivity Analysis (2017)A review of techniques for parameter sensitivity analysis of environmental models (1994)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)A new uncertainty importance measure (2006)A distribution-free approach to inducing rank correlation among input variables (1982)Uniform Design: Theory and Application (2000)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 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
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 1978Nonlinear sensitivity analysis of multiparameter model systems696 cited
  • 2015A Matlab toolbox for Global Sensitivity Analysis655 cited
  • 2000

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Sensitivity Anaysis as an Ingredient of Modeling
607 cited
  • 2006Sensitivity analysis practices: Strategies for model-based inference576 cited
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