Outlier identification for skewed and/or heavy-tailed unimodal multivariate distributions

Authors

  • Vincenzo Verardi
  • Catherine Vermandele

Abstract

In multivariate analysis, it is very difficult to identify outliers in case of skewed and/or heavy-tailed distributions. In this paper, we propose a very simple outlier identification tool that works with these types of distributions and that keeps the computational complexity low.

Published

2016-09-22

Issue

Section

Article