Robustifying and simplifying high-dimensional regression with applications to yearly stock return and telematics data
Abstract The availability of many variables with predictive power makes their selection in a regression context difficult.This study considers robust and understandable low-dimensional estimators Microphone Accessories as building blocks to improve overall predictive power by optimally combining these building blocks.Our new algorithm is based on g