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Penalized blind kriging in computer experiments

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Publication:3094080
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DOI10.5705/ss.2009.226zbMath1232.62163OpenAlexW2139002679MaRDI QIDQ3094080

Ying Hung

Publication date: 21 October 2011

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/a9f6fdce80c4d7c2604842bbf9eaa08f8babc8cf


zbMATH Keywords

geostatisticsvariable selectionGaussian process modelsfixed-domain asymptoticsoracle procedure


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (5)

A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells ⋮ Indicator-based Bayesian variable selection for Gaussian process models in computer experiments ⋮ Modified Penalized Blind Kriging for efficiently selecting a global trend model ⋮ On the inference of applying Gaussian process modeling to a deterministic function ⋮ EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors




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