Robustness of Deepest Regression

In this paper we investigate the robustness properties of the deepest regression, a method for linear regression introduced by Rousseeuw and Hubert [6]. We show that the deepest regression functional is Fisher-consistent for the conditional median, and has a breakdown value of 13 in all dimensions. We also derive its influence function, and compare it with sensitivity functions.