The varying coefficient model (VCM) is an important generalization of the linear regression model and many existing estimation procedures for VCM were built on <italic>L</italic> ₂ loss, which is popular for its mathematical beauty but is not robust to non-normal errors and outliers. In this paper, we address...

The group Lasso is a penalized regression method, used in regression problems where the covariates are partitioned into groups to promote sparsity at the group level [27]. Quantile group Lasso, a natural extension of quantile Lasso [25], is a good alternative when the data has group information...

Earthquakes that occur in a mountainous region can trigger a mass of landslides (ETL), and these hazards can cause relatively heavy casualties. Compared with other evaluation models and methods, quantification theory I is a multivariate statistical approach that can simultaneously process...