Evaluation of robust outlier detection methods for zero-inflated complex data

DOI10.1080/02664763.2019.1671961OpenAlexW2975195777MaRDI QIDQ5037099

Peter Filzmoser, J. Gussenbauer, Matthias Templ

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1671961

zbMATH Keywords

zerosoutlier detectionrobust methodshousehold expenditures

Mathematics Subject Classification ID

Applications of statistics (62Pxx) Multivariate analysis and fuzziness (62H86)

Related Items (3)

Modeling the cryptocurrency return distribution via Laplace scale mixtures ⋮ Mixtures of Matrix-Variate Contaminated Normal Distributions ⋮ Textual outlier detection with an unsupervised method using text similarity and density peak

Uses Software

• R
• VIM
• robustbase
• laeken
• robCompositions
• mvBACON

Cites Work

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