Skew Multiple Scaled Mixtures of Normal Distributions with Flexible Tail Behavior and Their Application to Clustering

The family of multiple scaled mixtures of multivariate normal (MSMN) distributions has been shown to be a powerful tool for modeling data that allow different marginal amounts of tail weight. An extension of the MSMN distribution is proposed through the incorporation of a vector of shape parameters,...

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Veröffentlicht in:	Journal of classification 2024, Vol.41 (3), p.620-649
Hauptverfasser:	Mahdavi, Abbas, Desmond, Anthony F., Jamalizadeh, Ahad, Lin, Tsung-I
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bioinformatics Clustering Marketing Mathematics and Statistics Maximum likelihood estimates Mixtures Multivariate analysis Parameter estimation Pattern Recognition Psychometrics Signal,Image and Speech Processing Special Issue: IFCS 2022 Statistical Theory and Methods Statistics
Online-Zugang:	Volltext
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