Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition

In the high-dimensional regression model a response variable is linearly related to p covariates, but the sample size n is smaller than p. We assume that only a small subset of covariates is'active' (i.e., the corresponding coefficients are non-zero), and consider the model-selection problem of identifying the active covariates.