H. Walk, “Strong Universal Consistency of Smooth Kernel Regression Estimates,” Annals of the Institute of Statistical Mathematics, Vol. 57, No. 4, 2005, pp. 665-685. doi:10.1007/BF02915432

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.