Super-optimal rate of convergence in non-parametric estimation for functional valued processes

In this paper, we consider the non-parametric estimation of the generalised regression function for continuous time processes with irregular paths when the regressor takes values in a semi-metric space. We establish the mean-square convergence of our estimator with the same super-optimal rate as when the regressor is real valued.