On estimation of surrogate models for multivariate computer experiments
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DOI: 10.1007/s10463-017-0627-8
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- Kohler, Michael & Krzyżak, Adam, 2013. "Optimal global rates of convergence for interpolation problems with random design," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1871-1879.
- Kohler, Michael, 2014. "Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 197-208.
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- Plassier, Vincent & Portier, François & Segers, Johan, 2020. "Risk bounds when learning infinitely many response functions by ordinary linear regression," LIDAM Discussion Papers ISBA 2020019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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Keywords
Computer experiments; Curse of dimensionality; Neural networks; Nonparametric regression without noise in the dependent variable; Quantile estimates; Rate of convergence; Surrogate models;All these keywords.
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