Mixtures of hidden truncation hyperbolic factor analyzers (Q779042)

scientific article; zbMATH DE number 7223606

Language	Label	Description	Also known as
English	Mixtures of hidden truncation hyperbolic factor analyzers	scientific article; zbMATH DE number 7223606

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instance of

scholarly article

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title

Mixtures of hidden truncation hyperbolic factor analyzers (English)

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Journal of Classification

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publication date

21 July 2020

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full work available at URL

https://arxiv.org/abs/1711.01504

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zbMATH Keywords

hidden truncation hyperbolic distribution

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hidden truncation hyperbolic factor analysis

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MHTHFA

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mixture of factor analyzers

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mixture of hidden truncation hyperbolic factor analyzers

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describes a project that uses

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Extending mixtures of multivariate \(t\)-factor analyzers

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Mixtures of modified \(t\)-factor analyzers for model-based clustering, classification, and discriminant analysis

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On fundamental skew distributions

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A Lasso-penalized BIC for mixture model selection

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Model-based clustering of high-dimensional data: a review

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A mixture of generalized hyperbolic distributions

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On fractionally-supervised classification: weight selection and extension to the multivariate \(t\)-distribution

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Three skewed matrix variate distributions

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

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Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models

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Maximum likelihood estimation for multivariate skew normal mixture models

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Capturing patterns via parsimonious \(t\) mixture models

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Extending mixtures of factor models using the restricted multivariate skew-normal distribution

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Q3634327

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Q4863621

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Finite mixture models

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Model-based classification using latent Gaussian mixture models

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Model-based clustering

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Big and complex data analysis. Methodologies and applications

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Maximum likelihood estimation via the ECM algorithm: A general framework

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Mixtures of skew-\(t\) factor analyzers

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Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering

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Note of clarification on ``Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering''

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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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Model-Based Classification via Mixtures of Multivariate<i>t</i>-Factor Analyzers

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Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions

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A mixture of generalized hyperbolic factor analyzers

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A mixture of coalesced generalized hyperbolic distributions

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

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Parsimonious skew mixture models for model-based clustering and classification

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Fractionally-supervised classification

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Identifiers

Mathematics Subject Classification ID

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10.1007/S00357-019-9309-Y

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Sitelinks

Mathematics(1 entry)

mardi Publication:779042