Strong uniform consistency rates of some characteristics of the conditional distribution estimator in the functional single-index model
Volume 41 / 2014
Applicationes Mathematicae 41 (2014), 301-322
MSC: Primary 62G05, 62G20; Secondary 62F12, 62H12.
DOI: 10.4064/am41-4-2
Abstract
The aim of this paper is to establish a nonparametric estimate of some characteristics of the conditional distribution. Kernel type estimators for the conditional cumulative distribution function and for the successive derivatives of the conditional density of a scalar response variable $Y$ given a Hilbertian random variable $X$ are introduced when the observations are linked with a single-index structure. We establish the pointwise almost complete convergence and the uniform almost complete convergence (with rate) of the kernel estimator of this model. Asymptotic properties are stated for each of these estimators, and they are applied to the estimation of the conditional mode and conditional quantiles.
