Functional time series prediction via conditional mode estimation

This Note focuses on an estimator of the conditional mode of a scalar response Y given a functional random variable X . We start by building a kernel estimator of the conditional density of Y given X ; the conditional mode is defined as the value which maximizes this conditional density. We establish the almost complete convergence for this estimate under α -mixing assumption.