L. C. Zhao and Z. B. Fang, “Strong Convergence of Kernel Estimates of Nonparametric Regression Functions,” Chinese Annals of Mathematics, Series B, Vol. 6, No. 2, 1985, pp. 147-155.
has been cited by the following article:
TITLE: Strong Consistency of Kernel Regression Estimate
AUTHORS: Wenquan Cui, Meng Wei
KEYWORDS: Kernel Regression Estimator; Bandwidth; Strong Pointwise Consistency
JOURNAL NAME: Open Journal of Statistics, Vol.3 No.3, June 18, 2013
ABSTRACT: In this paper, regression function estimation from independent and identically distributed data is considered. We establish strong pointwise consistency of the famous Nadaraya-Watson estimator under weaker conditions which permit to apply kernels with unbounded support and even not integrable ones and provide a general approach for constructing strongly consistent kernel estimates of regression functions.