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Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization
2018We introduce the ensemble of Kriging with multiple kernel functions guided by cross-validation error for creating a robust and accurate surrogate model to handle engineering design problems. By using the ensemble of Kriging models, the resulting ensemble model preserves the uncertainty structure of Kriging, thus, can be further exploited for Bayesian ...
Pramudita Satria Palar, Koji Shimoyama
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Uncertainty evaluation in functional kriging with external drift
2014We predict a curve at an unmonitored site taking into account exogenous variables using a functional kriging model with external drift. To evaluate uncertainty of the predicted curves, a semi-parametric bootstrap approach for spatially correlated data is adapted to functional data.
FRANCO VILLORIA, Maria +1 more
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A Comparison of Spatiotemporal and Functional Kriging Approaches
Wiley Series in Probability and Statistics, 2022Johan Strandberg +2 more
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Global Sensitivity Analysis Using a Kriging Metamodel for EM Design Problems With Functional Outputs
IEEE Transactions on Magnetics, 2022Arnold Bingler +2 more
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Asymptotic Behavior of a Continuous Approximation to the Kriging Weighting Function
2008This technical note contains the detailed arguments of the proof: The main Theorem 4.2 gives conditions on k guaranteeing that the EEC is satisfied and Corollary 4.3 verifies that these conditions are met if k is the Matern covariance under conditions on its parameters.
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MIXED COVARIANCE FUNCTION KRIGING MODEL FOR UNCERTAINTY QUANTIFICATION
International Journal for Uncertainty Quantification, 2022Kai Cheng +4 more
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Residual Kriging for Functional Spatial Prediction of Salinity Curves
Communications in Statistics - Theory and Methods, 2015Ramón Giraldo, Jorge Mateu
exaly
Universal, Residual and External Drift Functional Kriging
2021Franco-Villoria, Maria +1 more
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