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Entropy-Based Importance Measure for Uncertain Model Inputs
16 references·4 citing·38 second hop
Entropy-Based Importance Measure for Uncertain Model Inputs (2013)Entropy-Based Importance Measure for Unce…Moment Independent Importance Measures: New Results and Analytical Test Cases (2010)Moment Independent Importance…Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009)Implementation and evaluation…Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Multiple predictor smoothing …Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Measuring Uncertainty Importa…A new uncertainty importance measure (2006)A new uncertainty importance …Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design (2005)Relative Entropy Based Method…First Order Saddlepoint Approximation for 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essential discipline for systems modeling and policy support (2020)Random field finite elements (1986)Stochastic Finite Element Expansion for Random Media (1989)A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (2000)Random matrix theory for modeling uncertainties in computational mechanics (2004)A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics (2005)Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators (2005)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)Reliability sensitivity analysis with random and interval variables (2009)Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models (2017)Structural Reliability Analysis and Prediction (2017)Distribution-based sensitivity analysis from a generic input-output sample (2018)STATISTICS FOR SPATIAL DATA (1992)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)Asymptotic normality and efficiency of two Sobol index estimators (2013)Information Value Theory (1966)Probabilistic Sensitivity Analysis Using Monte Carlo Simulation (1985)Decision analysis and behavioral research (1986)A pilot study on the use of decision theory and value of information analysis as part of the NHS Health Technology Assessment programme (2004)Exploring Uncertainty in Cost-Effectiveness Analysis (2008)Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample (2013)Empirical Model Building and Response Surfaces (1988)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)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Importance measures in global sensitivity analysis of nonlinear models (1996)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2009Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models327 cited
  • 1998Sensitivity Analysis and the Expected Value of Perfect Information327 cited
  • 2001Maximum entropy approach for modeling random uncertainties in transient elastodynamics324 cited
  • 2005Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design269 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
  • 1986Probabilistic Analysis of Decision Trees Using Monte Carlo Simulation198 cited
  • 2000An uncertainty importance measure using a distance metric for the change in a cumulative distribution function195 cited
  • 2004

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First Order Saddlepoint Approximation for Reliability Analysis
186 cited
  • 2010Moment Independent Importance Measures: New Results and Analytical Test Cases176 cited
  • 2007Multiple predictor smoothing methods for sensitivity analysis: Description of techniques173 cited
  • Cited by

    • 2019Uncertainty quantification of planetary entry technologies24 cited
    • 2017Global sensitivity analysis for fuzzy inputs based on the decomposition of fuzzy output entropy18 cited
    • 2015An efficient method for evaluating the effect of input parameters on the integrity of safety systems11 cited
    • 2015Efficient numerical simulation method for evaluations of global sensitivity analysis with parameter uncertainty11 cited