In this paper, we consider the problem of estimating a semiparametric partially linear varying coefficient model. We …

In this paper, we consider the partially linear single-index models with longitudinal data. We propose the bias …

In this paper, we apply the empirical likelihood method to heteroscedastic partially linear errors-in-variables model …

In this paper, we consider the estimation and inference of the parameters and the nonparametric part in partially … linear quantile regression models with responses that are missing at random. First, we extend the normal approximation (NA …

partially linear regression model with unknown regression coefficients and an unknown nonparametric function. We present a …

parametric estimation for partially linear models via the Dantzig selector. Large sample asymptotic properties of the Dantzig …). Moreover, we obtain that the adaptive Dantzig selector estimator for the parametric component of partially linear models has …

A semiparametric method based on smoothing spline is proposed for the estimation of varying-coefficient partially … linear models. A simple and efficient method is proposed, based on a partial spline technique with a lower …