Образец цитирования:
И. А. Ибрагимов, Р. З. Хасьминский, “О границах качества непараметрического оценивания регрессии”, Теория вероятн. и ее примен., 27:1 (1982), 81–94; Theory Probab. Appl., 27:1 (1982), 84–99
\RBibitem{IbrKha82}
\by И.~А.~Ибрагимов, Р.~З.~Хасьминский
\paper О границах качества непараметрического оценивания регрессии
\jour Теория вероятн. и ее примен.
\yr 1982
\vol 27
\issue 1
\pages 81--94
\mathnet{http://mi.mathnet.ru/tvp2272}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=645130}
\zmath{https://zbmath.org/?q=an:0508.62036|0494.62042}
\transl
\jour Theory Probab. Appl.
\yr 1982
\vol 27
\issue 1
\pages 84--99
\crossref{https://doi.org/10.1137/1127008}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1983QB14800008}
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/tvp2272
https://www.mathnet.ru/rus/tvp/v27/i1/p81
Эта публикация цитируется в следующих 35 статьяx:
Maximilian Wechsung, Michael H. Neumann, “Consistency of a nonparametric least squares estimator in integer-valued GARCH models”, Journal of Nonparametric Statistics, 34:2 (2022), 491
Zhi-Ming Luo, Jeongcheol Ha, Tae Yoon Kim, Inho Park, “Sharp optimality for regression with real-time data”, Journal of the Korean Statistical Society, 44:4 (2015), 632
Christopher R. Genovese, Wiley StatsRef: Statistics Reference Online, 2014
Richard J. Samworth, “Optimal weighted nearest neighbour classifiers”, Ann. Statist., 40:5 (2012)
Juditsky A.B., Lepski O.V., Tsybakov A.B., “Nonparametric Estimation of Composite Functions”, Annals of Statistics, 37:3 (2009), 1360–1404
Goldenshluger A., Lepski O., “Structural adaptation via L–p–norm oracle inequalities”, Probability Theory and Related Fields, 143:1–2 (2009), 41–71
A Wavelet Tour of Signal Processing, 2009, 765
Christophe Chesneau, “Regression with random design: A minimax study”, Statistics & Probability Letters, 77:1 (2007), 40
Christopher R. Genovese, Encyclopedia of Statistical Sciences, 2005
Karine Bertin, “Minimax exact constant in sup-norm for nonparametric regression with random design”, Journal of Statistical Planning and Inference, 123:2 (2004), 225
I. A. Ibragimov, “Estimation of Multivariate Regression”, Theory Probab. Appl., 48:2 (2004), 256
И. А. Ибрагимов, “Об оценке многомерной регрессии”, Теория вероятн. и ее примен., 48:2 (2003), 301–320; I. A. Ibragimov, “Estimation of multivariate regression”, Theory Probab. Appl., 48:2 (2004), 256–272
Jérôme Kalifa, Stéphane Mallat, “Thresholding estimators for linear inverse problems and deconvolutions”, Ann. Statist., 31:1 (2003)
Claudia Angelini, Daniela De Canditiis, Frédérique Leblanc, “Wavelet regression estimation in nonparametric mixed effect models”, Journal of Multivariate Analysis, 85:2 (2003), 267
András Antos, “Lower bounds for the rate of convergence in nonparametric pattern recognition”, Theoretical Computer Science, 284:1 (2002), 3
C. Angelini, D. De Canditiis, “POINTWISE CONVERGENCE OF THE WAVELET REGULARIZED ESTIMATORS”, Communications in Statistics - Theory and Methods, 31:9 (2002), 1561
L. Györfi, M. Kohler, Principles of Nonparametric Learning, 2002, 57
András Antos, László Györfi, Michael Kohler, “Lower bounds on the rate of convergence of nonparametric regression estimates”, Journal of Statistical Planning and Inference, 83:1 (2000), 91
Jae-Chun Kim, Alexander Korostelev, “Rates of convergence for the sup-norm risk in image models under sequential designs”, Statistics & Probability Letters, 46:4 (2000), 391