Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors-Reference-Cited by-同舟云学术

Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors

Published:2017-04-13 Issue:3 Volume:59 Page:283-292
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Deng X.¹,Lin C. Devon²,Liu K.-W.³,Rowe R. K.⁴

Affiliation:

1. Department of Statistics, Virginia Tech, Blacksburg, Virginia

2. Department of Mathematics and Statistics, Queen's University, Kingston, Canada

3. School of Civil Engineering, Southwest Jiaotong University, Emeishan, Leshan, Sichuan, China

4. Department of Civil Engineering, Queen's University, Kingston, Canada

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2016.1211554

Reference27 articles.

1. Composite Gaussian process models for emulating expensive functions

2. Optimal Sliced Latin Hypercube Designs

3. Fast Parallel Algorithms for Edge-Switching to Achieve a Target Visit Rate in Heterogeneous Graphs

4. Deng, X., Hung, Y., and Lin, C. D. (2015), “Design for Computer Experiments With Qualitative and Quantitative Factors,” Statistica Sinica, 25, 1567–1581.

5. Durrande, N., Ginsbourger, D., Roustant, O., and Carraro, L. (2011), “ Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling,” arXiv preprint arXiv:1111.6233.

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