Almost complete convergence of functional regression estimator: a recursive nonparametric approach

We introduce novel families of recursive kernel estimators for the regression function of a real response variable given a random variable that takes values in a semimetric space. Then, we investigate the rate of the almost complete convergence, which is stronger than almost sure convergence. A simulation study is conducted to illustrate the performance of the proposed recursive estimators.