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Global Sensitivity Analysis Using a Kriging Metamodel for EM Design Problems With Functional Outputs
4 references·0 citing·18 second hop
Global Sensitivity Analysis Using a Kriging Metamodel for EM Design Problems With Functional Outputs (2022)Global Sensitivity Analysis Using a Krigi…Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions (2018)Global sensitivity analysis i…Variability Impact of Many Design Parameters: The Case of a Realistic Electronic Link (2017)Variability Impact of Many De…Reliability and Sensitivity Analysis of Transmission Lines in a Probabilistic EMC Context (2016)Reliability and Sensitivity A…UQLab: A Framework for Uncertainty Quantification in Matlab (2014)UQLab: A Framework for Uncert…Global sensitivity analysis using polynomial chaos expansions (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Second‐Order Reliability Approximations (1987)Structural Reliability Methods (1996)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Controlled Stratification Based on Kriging Surrogate Model: An Algorithm for Determining Extreme Quantiles in Electromagnetic Compatibility Risk Analysis (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses (2020)A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression (2021)Design and Analysis of Computer Experiments (1989)Stochastic Finite Elements: A Spectral Approach (1991)Global Sensitivity Analysis. The Primer (2007)A general frame for uncertainty propagation under multimodally distributed random variables (2020)An efficient method based on AK-MCS for estimating failure probability function (2020)Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading (2020)
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References

  • 2014UQLab: A Framework for Uncertainty Quantification in Matlab1,018 cited
  • 2018Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions72 cited
  • 2017Variability Impact of Many Design Parameters: The Case of a Realistic Electronic Link45 cited
  • 2016Reliability and Sensitivity Analysis of Transmission Lines in a Probabilistic EMC Context33 cited

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