Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (Q892802)

scientific article; zbMATH DE number 6507876

Language	Label	Description	Also known as
English	Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution	scientific article; zbMATH DE number 6507876

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instance of

scholarly article

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title

Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (English)

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Statistics and Computing

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publication date

12 November 2015

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zbMATH Keywords

EM-type algorithms

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entropy

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flow cytometry

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ICL

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MSTN distribution

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skewness

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describes a project that uses

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full work available at URL

https://doi.org/10.1007/s11222-013-9386-4

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cites work

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Skew normal measurement error models

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Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skew<i>t</i>-Distribution

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The multivariate skew-normal distribution

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Model-Based Gaussian and Non-Gaussian Clustering

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Standard errors of fitted component means of normal mixture

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Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

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The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family

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Bayesian density estimation using skew Student-\(t\)-normal mixtures

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Multivariate mixture modeling using skew-normal independent distributions

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How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis

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Finite mixture and Markov switching models.

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Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions

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Computational aspects of fitting mixture models via the expectation-maximization algorithm

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Some results on the truncated multivariate \(t\) distribution

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Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms

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Conjugate Gradient Acceleration of the EM Algorithm

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Choosing initial values for the EM algorithm for finite mixtures

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Consistent estimation of the order of mixture models.

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Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results

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Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution

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The EM Algorithm and Extensions, 2E

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Finite mixture models

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Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution

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Initializing the EM algorithm in Gaussian mixture models with an unknown number of components

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Mixture Densities, Maximum Likelihood and the EM Algorithm

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A new class of multivariate skew distributions with applications to bayesian regression models

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Estimating the dimension of a model

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Statistical analysis of finite mixture distributions

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Analytic calculations for the EM algorithm for multivariate skew-\(t\) mixture models

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Identifiers

zbMATH Open document ID

1325.62113

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Mathematics Subject Classification ID

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10.1007/S11222-013-9386-4

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Sitelinks

Mathematics(1 entry)

mardi Publication:892802