High-dimensional variable selection via low-dimensional adaptive learning

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

A stochastic search method, the so-called Adaptive Subspace (AdaSub) method, is proposed for variable selection in high-dimensional linear regression models. The method aims at fin…