The Sorted L-One Estimator (SLOPE) is a popular regularization method in...
Sparse graphical modelling has attained widespread attention across vari...
LASSO and SLOPE are two popular methods for dimensionality reduction in ...
This is a chapter of the forthcoming Handbook of Multiple Testing. We
co...
VARCLUST algorithm is proposed for clustering variables under the assump...
In a linear model with possibly many predictors, we consider variable
se...
Extracting relevant features from data sets where the number of observat...
In this paper, we propose a new estimation procedure for discovering the...
The selection of variables with high-dimensional and missing data is a m...
Sorted L-One Penalized Estimator (SLOPE) is a relatively new convex
opti...
We consider the problem of identifying important predictors in large dat...
We consider the regression model, when the number of observations is sma...
The problems of outliers detection and robust regression in a
high-dimen...
In this paper we propose a primal-dual proximal extragradient algorithm ...
In regression settings where explanatory variables have very low correla...