T. Gasser and H. G. Müller, “Estimating Regression Functions and Their Derivatives by the Kernel Method,” Scandinavian Journal of Statistics, Vol. 11, 1984, pp. 171-185.
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.