The estimation of normal mixtures with latent variables

DOI10.1080/03610926.2018.1429625OpenAlexW2792206397MaRDI QIDQ5078416

Jan R. Magnus, Gideon Magnus

Publication date: 23 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1429625

zbMATH Keywords

Hessian matrixmixture modellingfactor analyzers

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Normal distribution with plasticizing component ⋮ DS normal distribution: properties and applications ⋮ Sulewski plasticizing component distribution: properties and applications

Uses Software

• bayesm

Cites Work

• Modelling high-dimensional data by mixtures of factor analyzers
• Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution
• Statistical decision theory and Bayesian analysis. 2nd ed
• Mixtures of skew-\(t\) factor analyzers
• Finite mixture and Markov switching models.
• Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
• Dealing With Label Switching in Mixture Models
• Heteroscedastic factor mixture analysis
• Extending mixtures of multivariate \(t\)-factor analyzers
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