Variable selection for high-dimensional incomplete data

Lixing Liang, Yipeng Zhuang, Philip L. H. Yu

Abstract: Highlights•Proposed MultiAIS-hrlasso, an efficient variable selection algorithm for high-dimensional incomplete data.•MultiAIS offered better consistency under challenging missing patterns.•The hrlasso showed accuracy in variable selection and prediction, particularly in high dimensionality and multicollinearity.