Local linear quantile regression with truncated and dependent data

In this paper, we construct a nonparametric regression quantile estimator by using the local linear fitting for left-truncated data, and establish the Bahadur-type representation and asymptotic normality of the proposed estimator when the observations form a stationary αα-mixing sequence. Finite-sample performance of the estimator is investigated via simulation studies.