A generalized L1L1-approach for a kernel estimator of conditional quantile with functional regressors: Consistency and asymptotic normality

A kernel estimator of the conditional quantile is defined for a scalar response variable, given a covariate taking values in a semi-metric space. The approach generalizes the median’s L1L1-norm estimator. The almost complete consistency and asymptotic normality are stated.