Nested Maximum Entropy Designs for Computer Experiments
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- Yunfei Wei & Shifeng Xiong, 2019. "Bayesian integrative analysis for multi-fidelity computer experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 46(11), pages 1973-1987, August.
- Sukanta Dash & Baidya Nath Mandal & Rajender Parsad, 2020. "On the construction of nested orthogonal Latin hypercube designs," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 347-353, April.
- Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009.
"Nested Maximin Latin Hypercube Designs,"
Discussion Paper
2009-06, Tilburg University, Center for Economic Research.
- Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
- Bing Guo & Xue-Ping Chen & Min-Qian Liu, 2020. "Construction of Latin hypercube designs with nested and sliced structures," Statistical Papers, Springer, vol. 61(2), pages 727-740, April.
- Mu, Weiyan & Xiong, Shifeng, 2018. "A class of space-filling designs and their projection properties," Statistics & Probability Letters, Elsevier, vol. 141(C), pages 129-134.
- Cox, Dennis D. & Park, Jeong-Soo & Singer, Clifford E., 2001. "A statistical method for tuning a computer code to a data base," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 77-92, July.
- Yaping Wang & Fasheng Sun & Hongquan Xu, 2022. "On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(537), pages 375-385, January.
- Xu, Jin & Duan, Xiaojun & Wang, Zhengming & Yan, Liang, 2018. "A general construction for nested Latin hypercube designs," Statistics & Probability Letters, Elsevier, vol. 134(C), pages 134-140.
- Weiyan Mu & Qiuyue Wei & Dongli Cui & Shifeng Xiong, 2018. "Best Linear Unbiased Prediction for Multifidelity Computer Experiments," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-7, June.
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Keywords
DETMAX; maximum entropy designs; kriging; sample-size determination; multi-fidelity computer experiments;All these keywords.
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