Comparison of Some Group Variable Selection Methods in High Dimensional Multiple Linear Regression via Simulation Study

Rejin Abdulqader Ibrahim , Hussein Abdulrahman Hashem

In many applications, covariates possess a grouping structure that can be incorporated into the analysis to select important groups as well as important members of those groups. In this paper, we reviewed some group variable selection methods in the penalized regression model. This paper investigates ...