ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control-Reference-Cited by-同舟云学术

ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control

Published:2022-03 Issue: Volume: Page:
ISSN:2452-3062
Container-title:Econometrics and Statistics
language:en
Short-container-title:Econometrics and Statistics

Author:

Archimbaud Aurore,Boulfani Feriel^ORCID,Gendre Xavier^ORCID,Nordhausen Klaus^ORCID,Ruiz-Gazen Anne^ORCID,Virta Joni

Funder

Agence Nationale de la Recherche

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Academy of Finland

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference46 articles.

1. Détection non-supervisée dobservations atypiques en contrôle de qualité: un survol;Archimbaud;Journal de la Société Française de Statistique,2018

2. Archimbaud, A., May, J., Nordhausen, K., Ruiz-Gazen, A., 2018. ICSShiny: ICS via a Shiny Application. R package version 0.5. https://CRAN.R-project.org/package=ICSShiny.

3. ICS for multivariate outlier detection with application to quality control;Archimbaud;Computational Statistics & Data Analysis,2018

4. Archimbaud, A., Nordhausen, K., Ruiz-Gazen, A., 2018a. ICSOutlier: Outlier Detection Using Invariant Coordinate Selection. R package version 0.3-0. https://CRAN.R-project.org/package=ICSOutlier.

5. Unsupervized outlier detection with ICSOutlier;Archimbaud;The R Journal,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tandem clustering with invariant coordinate selection;Econometrics and Statistics;2024-03

2. Novel whitening approaches in functional settings;Stat;2023-01-15

3. Detecting Outliers in Compositional Data Using Invariant Coordinate Selection;Robust and Multivariate Statistical Methods;2022-11-26