Quantile regression estimation for varying coefficient partially nonlinear models
This paper studied on the estimation problem of varying coefficient partially nonlinear quantile regression models with missing longitudinal data.Parametric and non-parametric estimates were given by using inverse probability weighting combined with quantile regression.The asymptotic normality of the given estimators were proved under certain conditions.The performance of the proposed method was verified by numerical simulation.