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Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis
16 references·1 citing·30 second hop
Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis (2023)Performance assessment of Kriging with pa…Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)Sparse Polynomial Chaos Expan…Support vector regression based metamodeling for structural reliability analysis (2018)Support vector regression bas…An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)An active-learning algorithm …Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Rare Event Estimation Using P…Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Bayesian Optimization in a Bi…Exploiting active subspaces to quantify uncertainty in the numerical simulation of the HyShot II scramjet (2015)Exploiting active subspaces t…UQLab: A Framework for Uncertainty Quantification in Matlab (2014)UQLab: A Framework for Uncert…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Theorems and examples on high dimensional model representation (2003)Theorems and examples on high…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Reliability analysis—a review and some perspectives (2001)Reliability analysis—a review…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…A novel reliability updating based method for efficient estimation of failure-probability global sensitivity (2023)A novel reliability updating …Exact and Invariant Second-Moment Code Format (1974)A critical appraisal of reliability estimation procedures for high dimensions (2004)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Metamodel-based importance sampling for structural reliability analysis (2013)The Logic of Scientific Discovery (2013)Structural Reliability Analysis and Prediction (2017)Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Efficient input—output model representations (1999)Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)Stochastic Finite Elements: A Spectral Approach (1991)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Statistics for Experimenters (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Handbook on Constructing Composite Indicators (2005)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Design and Analysis of Computer Experiments (1989)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)SALib: An open-source Python library for Sensitivity Analysis (2017)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)A new uncertainty importance measure (2006)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)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 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
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2014UQLab: A Framework for Uncertainty Quantification in Matlab1,018 cited
  • 2001Reliability analysis—a review and some perspectives775 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
  • 2016Bayesian Optimization in a Billion Dimensions via Random Embeddings392 cited
  • 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis308 cited
  • 2016Rare Event Estimation Using Polynomial-Chaos Kriging279 cited
  • 2021Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark275 cited

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2015
Exploiting active subspaces to quantify uncertainty in the numerical simulation of the HyShot II scramjet
165 cited
  • 2018Support vector regression based metamodeling for structural reliability analysis122 cited
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    • 2023A novel reliability updating based method for efficient estimation of failure-probability global sensitivity9 cited