High Dimensional Ordinary Least Squares Projection for Screening Variables
High Dimensional Ordinary Least Squares Projection for Screening Variables
Summary Variable selection is a challenging issue in statistical applications when the number of predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting, the sure independence screening procedure was introduced to reduce the dimensionality significantly by preserving the true model with overwhelming probability, before a …