On maximum depth classifiers: depth distribution approach

In this paper, we consider the notions of data depth for ordering multivariate data and propose a classification rule based on the distribution of some depth functions in . The equivalence of the proposed classification rule to optimal Bayes rule is discussed under suitable conditions. The performan...

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Veröffentlicht in:	Journal of applied statistics 2018-04, Vol.45 (6), p.1106-1117
Hauptverfasser:	Makinde, Olusola Samuel, Fasoranbaku, Olusoga Akin
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes rule Bayesian analysis Classification Classifiers Depth classifier error rates Multivariate analysis multivariate depth functions Statistical methods symmetric distributions
Online-Zugang:	Volltext
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