Least-Absolute-Value Prediction Lines in Closed Form

Abstract

For a given joint distribution of X and Y, the linear function h that minimizes the expectation of ‖Y – h(X)‖ is characterized in a form that often leads to explicit solutions, as various examples demonstrate.

Key Words:

• Regression
• L ₁ loss function
• Absolute deviations