Kernel Approximation: From Regression to Interpolation

DOI10.1137/130948112zbMath1381.62063OpenAlexW2304443721MaRDI QIDQ2801324

Lulu Kang, V. Roshan Joseph

Publication date: 6 April 2016

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/fd5d9260604d443f40c4722b971bfe54c692627a

zbMATH Keywords

krigingGaussian processkernel regressioncomputer experiments

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (3)

Projection pursuit emulation for many-input computer experiments ⋮ Multiscale extensions for enhancing coarse grid computations ⋮ Reproducing Kernel Hilbert Spaces for Parametric Partial Differential Equations

Uses Software

• R
• MASS (R)
• tgp
• np
• mda

Cites Work

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• Multivariate locally weighted least squares regression
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• Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
• Statistical Analysis of Financial Data in S-Plus
• Iterated Approximate Moving Least Squares Approximation
• Robust Locally Weighted Regression and Smoothing Scatterplots

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