Robust Linear Model Selection Based on Least Angle Regression
Robust Linear Model Selection Based on Least Angle Regression
In this article we consider the problem of building a linear prediction model when the number of candidate predictors is large and the data possibly contain anomalies that are difficult to visualize and clean. We want to predict the nonoutlying cases; therefore, we need a method that is simultaneously robust …