Depth-weighted Bayes classification

DOI10.1016/j.csda.2018.01.011zbMath1469.62154OpenAlexW2789573212MaRDI QIDQ1662813

Oleksii Pokotylo, Ondřej Vencálek

Publication date: 20 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.01.011

zbMATH Keywords

Bayes classifiersupervised learningranknonparametricdata depth

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items

Distance-based directional depth classifiers: a robustness study ⋮ RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks

Cites Work

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• Nonparametrically consistent depth-based classifiers
• Multivariate and functional classification using depth and distance
• Robust classification for skewed data
• The multivariate L ₁ -median and associated data depth
• DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot
• Robustness and Complex Data Structures
• On Maximum Depth and Related Classifiers

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