Computer experiment designs for accurate prediction

DOI10.1007/s11222-017-9760-8zbMath1384.62281OpenAlexW2650867022MaRDI QIDQ1704014

Angela M. Dean, Erin R. Leatherman, Thomas J. Santner

Publication date: 8 March 2018

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-017-9760-8

zbMATH Keywords

experimental designLatin hypercube designspace-filling designmaximum projection designGaussian process kriging interpolatorempirical prediction accuracyIMSPE

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Orthogonal arrays, Latin squares, Room squares (05B15)

Related Items (2)

Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation ⋮ Locally induced Gaussian processes for large-scale simulation experiments

Uses Software

• Matlab
• R
• GPfit
• MaxPro
• MPErK

Cites Work

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• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• A non-stationary covariance-based Kriging method for metamodelling in engineering design
• Computational Statistics
• Combining Field Data and Computer Simulations for Calibration and Prediction
• Maximum projection designs for computer experiments
• Frequentist Accuracy of Bayesian Estimates

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