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On the estimation of regression functions

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Bibliography

  1. L. Györfi, M. Kohler, A. Krzyżak, and H. Walk, A Distribution-Free Theory of Nonparametric Regression, Springer Series in Statistics, Springer-Verlag, New York, 2002.

    MATH  Google Scholar 

  2. F. Cucker and S. Smale Bull. Amer. Math. Soc., 39 (2001), 1–49.

    Article  MathSciNet  Google Scholar 

  3. V. Temlyakov, “Approximation in Learning Theory,” IMI Preprints, 5 (2005), 1–43.

    Google Scholar 

  4. V. V. Petrov, Sums of Independent Random Variables [in Russian], Nauka, Moscow, 1972.

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Translated from Matematicheskie Zametki, vol. 80, no. 5, 2006, pp. 797–800.

Original Russian Text Copyright © 2006 by E. Rafikov.

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Rafikov, E. On the estimation of regression functions. Math Notes 80, 753–757 (2006). https://doi.org/10.1007/s11006-006-0198-0

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  • DOI: https://doi.org/10.1007/s11006-006-0198-0

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