Modern scientific investigations frequently generate datasets with thousands to millions of features, ranging from genomic profiles to sensor measurements. Analysing such high-dimensional data demands ...

High-dimensional statistical models arise when the number of candidate predictors greatly exceeds the number of observations, a setting common in genomics, neuroimaging and finance. Group variable ...

A new variable selection method was proposed recently by a research team from the Institute of Intelligent Machines, Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) ...