pith. sign in

arxiv: 1409.3901 · v3 · pith:5UZ6I7P5new · submitted 2014-09-13 · 📊 stat.CO

Fast implementation of the Tukey depth

classification 📊 stat.CO
keywords depthtukeyfirstfunctionveryaddressalgorithmscalculates
0
0 comments X
read the original abstract

Tukey depth function is one of the most famous multivariate tools serving robust purposes. It is also very well known for its computability problems in dimensions $p \ge 3$. In this paper, we address this computing issue by presenting two combinatorial algorithms. The first is naive and calculates the Tukey depth of a single point with complexity $O\left(n^{p-1}\log(n)\right)$, while the second further utilizes the quasiconcave of the Tukey depth function and hence is more efficient than the first. Both require very minimal memory and run much faster than the existing ones. All experiments indicate that they compute the exact Tukey depth.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.