A novel and robust method is proposed by combining the idea of the modal regression estimation (Yao et al., 2012) and …

introducing modal regression, we propose a novel empirical likelihood method based on modal regression estimation equations, which … empirical likelihood modal regression as a nonparametric approach are illustrated by constructing confidence intervals …

We focus on the problem of simultaneous variable selection and estimation for nonlinear models based on modal … regression (MR), when the number of coefficients diverges with sample size. With appropriate selection of the tuning parameters …

In this paper, a new robust and efficient estimation approach based on local modal regression is proposed for partially …

A new estimation procedure based on modal regression is proposed for single-index varying-coefficient models. The …

, we propose a new robust and efficient estimation procedure based on local modal regression for single index models. The …