Let Q be a conditional distribution with L1-median [mu] and let {Qn} be a sequence of conditional distributions converging in some sense to Q. Then the L1-medians {[mu]n} of distributions {Qn} are natural estimates of [mu]. In the case where {Qn} is a sequence of kernel estimates we give...

This paper deals with a nonparametric estimation of conditional quantile regression when the explanatory variable X takes its values in a bounded subspace of a functional space X and the response Y takes its values in a compact of the space Y≔R. The functional observations, X1,…,Xn, are...

Motivated by the problem of setting prediction intervals in time series analysis, this investigation is concerned with recovering a regression function <i>m(X_t)</i> on the basis of noisy observations taking at random design points <i>X_t</i>. It is presumed that the corresponding observations are corrupted...

Motivated by the problem of setting prediction intervals in time seriesanalysis, this investigation is concerned with recovering a regression functionm(X_t) on the basis of noisy observations taking at random design pointsX_t.It is presumed that the corresponding observations are corrupted by...