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Global sensitivity measures from given data
16 references·16 citing·22 second hopsampled
Global sensitivity measures from given data (2012)Global sensitivity measures from given da…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…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…A new uncertainty importance measure (2006)A new uncertainty importance …Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…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…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…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…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…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…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Toward SALib 2.0: Advancing t…Sensitivity analysis of agent-based models: a new protocol (2022)Sensitivity analysis of agent…Sensitivity analysis: A discipline coming of age (2021)Sensitivity analysis: A disci…Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Review of statistical model c…Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques (2018)Tree-based ensemble methods f…Distribution-based sensitivity analysis from a generic input-output sample (2018)Distribution-based sensitivit…An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy (2018)An efficient method for momen…Sensitivity to Energy Technology Costs: A Multi-Model Comparison Analysis (2016)Sensitivity to Energy Technol…A Common Rationale for Global Sensitivity Measures and Their Estimation (2016)A Common Rationale for Global…Non-parametric methods for global sensitivity analysis of model output with dependent inputs (2015)Non-parametric methods for gl…A GUI platform for uncertainty quantification of complex dynamical models (2015)A GUI platform for uncertaint…Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis (2014)Identifying parametric contro…Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help? (2013)Uncertainty in Climate Change…Transformations and Invariance in the Sensitivity Analysis of Computer Experiments (2013)Transformations and Invarianc…Invariant Probabilistic Sensitivity Analysis (2013)Invariant Probabilistic Sensi…Managing Structural Uncertainty in Health Economic Decision Models: A Discrepancy Approach (2011)Managing Structural Uncertain…Statistics for Experimenters (1979)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Handbook on Constructing Composite Indicators (2005)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)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)How to avoid a perfunctory sensitivity analysis (2010)Empirical Model Building and Response Surfaces (1988)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)A distribution-free approach to inducing rank correlation among input variables (1982)Uniform Design: Theory and Application (2000)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Sensitivity analysis: A review of recent advances (2015)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 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
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2007Kriging metamodeling in simulation: A review1,278 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited

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  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2006A new uncertainty importance measure1,030 cited
  • Cited by

    • 2022Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses368 cited
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    • 2015Non-parametric methods for global sensitivity analysis of model output with dependent inputs116 cited
    • 2016Sensitivity to Energy Technology Costs: A Multi-Model Comparison Analysis114 cited
    • 2013Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?105 cited
    • 2013Invariant Probabilistic Sensitivity Analysis104 cited
    • 2011Managing Structural Uncertainty in Health Economic Decision Models: A Discrepancy Approach101 cited
    • 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures99 cited
    • 2018Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques91 cited
    • 2022Sensitivity analysis of agent-based models: a new protocol91 cited
    • 2021Sensitivity analysis: A discipline coming of age87 cited
    • 2013Transformations and Invariance in the Sensitivity Analysis of Computer Experiments82 cited
    • 2015A GUI platform for uncertainty quantification of complex dynamical models77 cited
    • 2018An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy76 cited
    • 2014Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis76 cited