Quantile Regression and Beyond in Statistical Analysis of Data.

Highlights from the article: Regression is used to quantify the relationship between response variables and some covariates of interest. The second paper presents a new link function for distribution-specific quantile regression based on vector generalized linear and additive models to directly model specified quantile levels. The fourth paper introduces the regularized quantile regression method using pairwise absolute clustering and sparsity penalty, extending from mean regression to quantile regression setting.