Estimation of the complexity of a finite mixture distribution: from well- to less known methods
type: Item
instance of: scholarly article
title: Estimation of the complexity of a finite mixture distribution: from well- to less known methods
author: Fadoua Balabdaoui
author: Andrei Kolar
author: Yulia Kulagina
author: Lilian Müller
published in: Journal of Statistical Theory and Practice
publication date: 2022-09-30T00:00:00Z
Mathematics Subject Classification ID: 62Fxx
Mathematics Subject Classification ID: 62Gxx
Mathematics Subject Classification ID: 65Cxx
zbMATH DE Number: 7595479
zbMATH Keywords: mixture complexity estimation
zbMATH Keywords: moments
zbMATH Keywords: minimum distance
zbMATH Keywords: likelihood-ratio test
zbMATH Keywords: multilayer perceptron
describes a project that uses: mixtools
describes a project that uses: Mixmod
describes a project that uses: mclust
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: s42519-022-00289-1
OpenAlex ID: W4293242254
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Estimation of the complexity of a finite mixture distribution: from well- to less known methods (cites work)
cites work: Robust estimation of mixture complexity for count data

Estimation of the complexity of a finite mixture distribution: from well- to less known methods (cites work)
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Estimation of the complexity of a finite mixture distribution: from well- to less known methods (DOI)
DOI: 10.1007/S42519-022-00289-1