A new method for computing the projection median, its influence curve and techniques for the production of projected quantile plots.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 06 08 2019
accepted: 15 02 2020
entrez: 8 5 2020
pubmed: 8 5 2020
medline: 4 8 2020
Statut: epublish

Résumé

This article introduces a new formulation of, and method of computation for, the projection 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 projection median, accompanied by numerical simulations. Via new simulations we comprehensively compare our performance with an established method for computing the projection median, as well as other existing multivariate medians. We focus on answering questions about accuracy and computational speed, whilst taking into account the underlying dimensionality. Such considerations are vitally important in situations where the data set is large, or where the operations have to be repeated many times and some well-known techniques are extremely computationally expensive. We briefly describe our associated R package that includes our new methods and novel functionality to produce animated multidimensional projection quantile plots, and also exhibit its use on some high-dimensional data examples.

Identifiants

pubmed: 32379826
doi: 10.1371/journal.pone.0229845
pii: PONE-D-19-22192
pmc: PMC7205268
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0229845

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Proc Natl Acad Sci U S A. 2000 Feb 15;97(4):1423-6
pubmed: 10677477

Auteurs

Fan Chen (F)

School of Mathematics, University of Bristol, Fry Building, Woodland Road, Bristol, England, United Kingdom.

Guy Nason (G)

Dept. Mathematics, Imperial College, London, England, United Kingdom.

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Classifications MeSH