When making predictions for an outcome, it can be helpful to determine the level of confidence or a range of values surrounding the expected outcome where the actual value may fall. For instance, when ...

Quantile regression has recently received a considerable attention due to its remarkable development in enriching the variety of regression models. Many efforts have been made to blend different ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. In past studies, quantile regression and expectile regression have established a solid theoretical ...