A Bootstrap-Surrogate Approach for Sequential Experimental Design for Simulation Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10536-4_33
Reference32 articles.
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3. Bouhlel, M.A., Bartoli, N., Regis, R.G., Otsmane, A., Morlier, J.: Efficient global optimization for high-dimensional constrained problems by using the kriging models combined with the partial least squares method. Eng. Optim. 50(12), 2038–2053 (2018)
4. Buhmann, M.: Radial Basis Functions: Theory and Implementations (Cambridge Monographs on Applied and Computational Mathematics). Cambridge University Press, Cambridge (2003)
5. Canty, A., Ripley, B.: boot: Bootstrap R (S-Plus) Functions. R package version 1.3-28 (2021). https://CRAN.R-project.org/package=boot
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