Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage

Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland +3

While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved…