Feature Screening for Massive Data Analysis by Subsampling
Feature Screening for Massive Data Analysis by Subsampling
Modern statistical analysis often encounters massive datasets with ultrahigh-dimensional features. In this work, we develop a subsampling approach for feature screening with massive datasets. The approach is implemented by repeated subsampling of massive data and can be used for analyzing tasks with memory constraints. To conduct the procedure, we first …