No penalty no tears: Least squares in high-dimensional linear models

Xiangyu Wang, David B. Dunson, Chenlei Leng

Abstract: Ordinary least squares (OLS) is the default method for fitting linear models, but is not applicable for problems with dimensionality larger than the sample size. For these problems, we advocate the...