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A Gaussian Process surrogate approach for analyzing parameter uncertainty in mechanics-based structural finite element models
11 references·0 citing·44 second hop
A Gaussian Process surrogate approach for analyzing parameter uncertainty in mechanics-based structural finite element models (2025)A Gaussian Process surrogate approach for…Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties (2023)Transfer learning Gaussian pr…An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis (2022)An efficient multi-fidelity K…Uncertainty propagation of frequency response functions using a multi-output Gaussian Process model (2019)Uncertainty propagation of fr…Global sensitivity analysis using support vector regression (2017)Global sensitivity analysis u…A Gaussian process-based dynamic surrogate model for complex engineering structural reliability analysis (2017)A Gaussian process-based dyna…Metamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models (2015)Metamodeling of dynamic nonli…Asymptotic normality and efficiency of two Sobol index estimators (2013)Asymptotic normality and effi…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Stochastic Finite Elements: A Spectral Approach (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)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)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)Better estimation of small sobol' sensitivity indices (2013)Global sensitivity analysis with dependence measures (2014)Sensitivity analysis for multidimensional and functional outputs (2014)The Logic of Scientific Discovery. 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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2013Asymptotic normality and efficiency of two Sobol index estimators246 cited
  • 2017A Gaussian process-based dynamic surrogate model for complex engineering structural reliability analysis169 cited
  • 2017Global sensitivity analysis using support vector regression114 cited
  • 2015Metamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models96 cited
  • 2022An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis79 cited
  • 2023Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties45 cited
  • 2019Uncertainty propagation of frequency response functions using a multi-output Gaussian Process model43 cited

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