Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations-Reference-Cited by-同舟云学术

Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations

Published:1986-10 Issue:1 Volume:23 Page:77-89
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Collomb Gérard,Härdle Wolfgang

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference31 articles.

1. Convergence of Probability Measures;Billingsley,1967

2. Sur la prédiction non paramétrique des variables aléatoires et de mesures aléatoires;Bosq;Z. Wahr. Verw. Geb.,1983

3. Estimation non paramétrique de la régression par la méthode du noyau;Collomb,1976

4. Condition nécessaires et suffisantes de convergence uniforme d'un estimateur de la régression, estimation des dérivées de la régression;Collomb;C.R.A.S. Paris Série A,1979

5. Propiétés de convergence presque compléte du prédicteur à noyau;Collomb;Z. Wahr. Verw. Geb.,1984

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