The envelope model provides substantial efficiency gains over the standa...
The Tobit model has long been the standard method for regression with a
...
Huber regression (HR) is a popular robust alternative to the least squar...
Sparse principal component analysis (PCA) and sparse canonical correlati...
Distance weighted discrimination (DWD) is a margin-based classifier with...
Distance weighted discrimination (DWD) was originally proposed to handle...
Graphical models are commonly used tools for modeling multivariate rando...
Folded concave penalization methods have been shown to enjoy the strong
...
When applying the support vector machine (SVM) to high-dimensional
class...