Weighted quantile regression for longitudinal data using empirical likelihood

摘要: This paper proposes a new weighted quantile regression model for longitudinal data with weights chosen by empirical likelihood (EL). approach efficiently incorporates the information from conditional restrictions to account within-subject correlations. The resulted estimate is computationally simple and has good performance under modest or high correlation. efficiency gain quantified theoretically illustrated via simulation real application.