On the L 1 convergence of kernel estimators of regression functions with applications in discrimination-Reference-Cited by-同舟云学术

On the L 1 convergence of kernel estimators of regression functions with applications in discrimination

Published:1980 Issue:1 Volume:51 Page:15-25
ISSN:0044-3719
Container-title:Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete
language:en
Short-container-title:Z. Wahrscheinlichkeitstheorie verw Gebiete

Author:

Devroye Luc P.,Wagner T. J.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Analysis,General Mathematics,Statistics and Probability,Analysis

Link

http://link.springer.com/content/pdf/10.1007/BF00533813.pdf

Reference34 articles.

1. Ahmad, I.A., Lin, P.: Nonparametric sequential estimation of a multiple regression function. Bull. Math. Statist. 17, 63?75 (1976)

2. Aizerman, M.A., Braverman, E.M., Rozonoer, L.I.: Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control 25, 917?936 (1964a)

3. Aizerman, M.A., Braverman, E.M., Rozonoer, L.I.: The probability problem of pattern recognition learing and the method of potential functions. Automat. Remote Control 25, 1307?1323 (1964b)

4. Bashkirov, O.A., Braverman, E.M., Muchnik, I.E.: Potential function algorithms for pattern recognition learning machines. Automat. Remote Control 25, 692?695 (1964)

5. Bennett, G.: Probability inequalities for the sum of independent random variables. J. Amer. Statist. Assoc. 57, 33?45 (1962)

Cited by 81 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonparametric recursive regression estimation on Riemannian Manifolds;Statistics & Probability Letters;2022-03

2. Recursive kernel regression estimation under α – mixing data;Communications in Statistics - Theory and Methods;2021-03-18

3. On a class of recursive estimators for spatially dependent observations;Electronic Journal of Statistics;2021-01-01

4. Semi-recursive kernel conditional density estimators under random censorship and dependent data;Communications in Statistics - Theory and Methods;2020-05-18

5. From Predictive to Prescriptive Analytics;Management Science;2020-03