Expectation–Maximization algorithm for finite mixture of α-stable distributions

A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 413; s. 210 - 216
Hlavní autori:	Castillo-Barnes, D., Martinez-Murcia, F.J., Ramírez, J., Górriz, J.M., Salas-Gonzalez, D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 06.11.2020
Predmet:	Alpha-stable distribution Alpha-stable mixture model Expectation–Maximization algorithm Expectation–Maximization algorithm Alpha-stable mixture model Alpha-stable distribution
ISSN:	0925-2312, 1872-8286
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