The talk will discuss the use of finite mixtures of multivariate skew- normal distributions as an approach to model-based clustering. The main motivation for using skew-normal densities as the components of the mixture is that they provide a formulation for parsimonius modelling of data clusters having convex but not elliptical shape. An EM algorithm for maximum likelihood estimation will be described, and some examples of application on both real and simulated data sets will be shown.

A. Capitanio, C. Viroli (2009). Some results on mixtures of skew-normal distributions. ST. PETERSBURG : VVM com. Ltd..

Some results on mixtures of skew-normal distributions

CAPITANIO, ANTONELLA;VIROLI, CINZIA
2009

Abstract

The talk will discuss the use of finite mixtures of multivariate skew- normal distributions as an approach to model-based clustering. The main motivation for using skew-normal densities as the components of the mixture is that they provide a formulation for parsimonius modelling of data clusters having convex but not elliptical shape. An EM algorithm for maximum likelihood estimation will be described, and some examples of application on both real and simulated data sets will be shown.
2009
Proceedings of the 6th St. Petersburg Workshop on Simulation
229
230
A. Capitanio, C. Viroli (2009). Some results on mixtures of skew-normal distributions. ST. PETERSBURG : VVM com. Ltd..
A. Capitanio; C. Viroli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/77395
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