Global fitting of the response surface via estimating multiple contours of a simulator

DOI10.1007/s42519-019-0077-0zbMath1437.62316arXiv1902.01011OpenAlexW2914686516MaRDI QIDQ2301224

Yanyan Li

Publication date: 24 February 2020

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.01011

zbMATH Keywords

Gaussian processcomputer experimentLatin hypercubespace-fillingsequential designmaximin designcontour estimation

Mathematics Subject Classification ID

Gaussian processes (60G15) Orthogonal arrays, Latin squares, Room squares (05B15) Sequential statistical design (62L05) Response surface designs (62K20)

Uses Software

• DiceKriging
• tgp
• mlegp
• GPfit
• SAVE
• RobustGaSP
• SLHD

Cites Work

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• A distribution-free approach to inducing rank correlation among input variables
• Exploratory designs for computational experiments
• Cases for the nugget in modeling computer experiments
• The design and analysis of computer experiments.
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Batch sequential designs for computer experiments
• Sequential design for computer experiments with a flexible Bayesian additive model
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
• Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments
• Orthogonal Array-Based Latin Hypercubes
• Maximum projection designs for computer experiments

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