SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization
16 references·16 citing·30 second hopsampled
Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization (2014)Extended Monte Carlo Simulation for Param…Global sensitivity measures from given data (2012)Global sensitivity measures f…Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Review of uncertainty-based m…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Robust optimization – A comprehensive survey (2007)Robust optimization – A compr…An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Robust Design: An Overview (2006)Robust Design: An OverviewMeasuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Measuring Uncertainty Importa…A new uncertainty importance measure (2006)A new uncertainty importance …Random balance designs for the estimation of first order global sensitivity indices (2005)Random balance designs for th…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Moment methods for structural reliability (2001)Moment methods for structural…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…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 …Augmented first-order reliability method for estimating fuzzy failure probabilities (2023)Augmented first-order reliabi…Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework (2021)Robust optimization of a dyna…Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration (2021)Estimation of Failure Probabi…Bounds optimization of model response moments: a twin-engine Bayesian active learning method (2021)Bounds optimization of model …A novel Nested Stochastic Kriging model for response noise quantification and reliability analysis (2021)A novel Nested Stochastic Kri…Non-intrusive imprecise stochastic simulation by line sampling (2020)Non-intrusive imprecise stoch…Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling (2020)Imprecise global sensitivity …Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty (2020)Bayesian probabilistic propag…Augmented sample-based approach for efficient evaluation of risk sensitivity with respect to epistemic uncertainty in distribution parameters (2020)Augmented sample-based approa…Adaptive reliability analysis for rare events evaluation with global imprecise line sampling (2020)Adaptive reliability analysis…A global sensitivity index based on Fréchet derivative and its efficient numerical analysis (2020)A global sensitivity index ba…A direct random sampling method for the Fourier amplitude sensitivity test of nonuniformly distributed uncertainty inputs and its application in C/C nozzles (2020)A direct random sampling meth…Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variables (2019)Generalization of non-intrusi…Uncertainty Quantification Metrics with Varying Statistical Information in Model Calibration and Validation (2017)Uncertainty Quantification Me…Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model (2017)Borgonovo moment independent …Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes (2016)Time-variant global reliabili…Exact and Invariant Second-Moment Code Format (1974)A fast and efficient response surface approach for structural reliability problems (1990)Methods of structural safety (2006)Efficient Spreadsheet Algorithm for First-Order Reliability Method (2007)Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method (2013)A Stochastic Approximation Method (1951)Design and Analysis of Computer Experiments (1989)Fuzzy sets (1996)Computational methods in optimization considering uncertainties – An overview (2008)Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Handbook on Constructing Composite Indicators (2005)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)SALib: An open-source Python library for Sensitivity Analysis (2017)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)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)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Econometric Tools for Analyzing Market Outcomes (2007)Metamodel-based importance sampling for structural reliability analysis (2013)Everything you need to know about agent-based modelling and simulation (2016)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 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
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2007Robust optimization – A comprehensive survey1,603 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2001Moment methods for structural reliability633 cited
  • 2011Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles516 cited
  • 2006Robust Design: An Overview494 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2012Global sensitivity measures from given data430 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

319 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
  • Cited by

    • 2021Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration58 cited
    • 2017Uncertainty Quantification Metrics with Varying Statistical Information in Model Calibration and Validation57 cited
    • 2017Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model47 cited
    • 2021A novel Nested Stochastic Kriging model for response noise quantification and reliability analysis46 cited
    • 2016Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes43 cited
    • 2020Non-intrusive imprecise stochastic simulation by line sampling38 cited
    • 2019Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variables34 cited
    • 2020Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty30 cited
    • 2020Adaptive reliability analysis for rare events evaluation with global imprecise line sampling30 cited
    • 2023Augmented first-order reliability method for estimating fuzzy failure probabilities28 cited
    • 2020Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling28 cited
    • 2020A global sensitivity index based on Fréchet derivative and its efficient numerical analysis26 cited
    • 2020Augmented sample-based approach for efficient evaluation of risk sensitivity with respect to epistemic uncertainty in distribution parameters20 cited
    • 2021Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework19 cited
    • 2020A direct random sampling method for the Fourier amplitude sensitivity test of nonuniformly distributed uncertainty inputs and its application in C/C nozzles18 cited
    • 2021Bounds optimization of model response moments: a twin-engine Bayesian active learning method17 cited