Let be a vector of random variables (rv’s), where T and X are, respectively, the interest variable and a covariate. In this paper, we study the nonparametric conditional quantile estimation for dependent functional data. Under some regularity conditions, the uniform strong convergence with rate of our estimator is established. We recover the rate of convergence in the known case of independent functional data.
