E. Herrmann et al., A BANDWIDTH SELECTOR FOR BIVARIATE KERNEL REGRESSION, Journal of the Royal Statistical Society. Series B: Methodological, 57(1), 1995, pp. 171-180
Citations number
13
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
Journal of the Royal Statistical Society. Series B: Methodological
For two and higher dimensional kernel regression, currently available
bandwidth selection procedures are based on cross-validation or relate
d penalizing ideas. However, these techniques have been shown to suffe
r from high sample variability and, in addition, can sometimes be diff
icult to implement when a vector of bandwidths needs to be selected. I
n this paper we propose a selector based on an iterative plug-in appro
ach for bivariate kernel regression. It is shown to give satisfactory
results and can be quickly computed. Our ideas can be extended to high
er dimensions.