A new method for computing the projection median, its influence curve and
techniques for the production of projected quantile plots
techniques for the production of projected quantile plots
File(s)journal.pone.0229845.pdf (1.63 MB)
Published version
Author(s)
Chen, Fan
Nason, Guy
Type
Journal Article
Abstract
This article introduces a new formulation of, and method of computation for, theprojection median. Additionally, we explore its behaviour on a specific bivariate set up,providing the first theoretical result on form of the influence curve for the projectionmedian, accompanied by numerical simulations.Via new simulations we comprehensively compare our performance with anestablished method for computing the projection median, as well as other existingmultivariate medians. We focus on answering questions about accuracy andcomputational speed, whilst taking into account the underlying dimensionality. Suchconsiderations are vitally important in situations where the data set is large, or wherethe operations have to be repeated many times and some well-known techniques areextremely computationally expensive.We briefly describe our associated R package that includes our new methods andnovel functionality to produce animated multidimensional projection quantile plots, andalso exhibit its use on some high-dimensional data examples.
Date Issued
2020-05-07
Date Acceptance
2020-02-18
Citation
PLoS One, 2020, 15 (5)
ISSN
1932-6203
Publisher
Public Library of Science (PLoS)
Journal / Book Title
PLoS One
Volume
15
Issue
5
Copyright Statement
© 2020 Chen, Nason. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sponsor
Engineering and Physical Sciences Research Council
Grant Number
EP/K020951/1
Subjects
General Science & Technology
Publication Status
Published
Article Number
ARTN e0229845