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• W2019970588 abstract "ABSTRACT Computer experiments enable scientists to study complex processes by running computer codes that simulate them. We consider here the analysis of data from computer experiments, comparing three methods for non-parametric smoothing of high-dimensional data: Kriging, Multivariate Adaptive Regression Splines (MARS) and Projection Pursuit Regression (PPR). On several data sets of varying complexity, we find that Kriging is consistently the best performer." @default.
• W2019970588 created "2016-06-24" @default.
• W2019970588 creator A5030884931 @default.
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• W2019970588 date "2007-10-29" @default.
• W2019970588 modified "2023-10-02" @default.
• W2019970588 title "Modeling Data from Computer Experiments: An Empirical Comparison of Kriging with MARS and Projection Pursuit Regression" @default.
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• W2019970588 doi "https://doi.org/10.1080/08982110701580930" @default.
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