Controlling False Discovery Rate Using Gaussian Mirrors
Controlling False Discovery Rate Using Gaussian Mirrors
Simultaneously, finding multiple influential variables and controlling the false discovery rate (FDR) for linear regression models is a fundamental problem. We here propose the Gaussian Mirror (GM) method, which creates for each predictor variable a pair of mirror variables by adding and subtracting a randomly generated Gaussian perturbation, and proceeds …