Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context

Matteo Farnè, Angelos Vouldis

This paper presents a fast methodology, called ROBOUT, to identify outliers in a response variable conditional on a set of linearly related predictors, retrieved from a large granu…