Mixture model selection via hierarchical BIC

DOI10.1016/j.csda.2015.01.019zbMath1468.62233OpenAlexW2036119080MaRDI QIDQ1663289

Libin Jin, Lei Shi, Jian-hua Zhao

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.01.019

zbMATH Keywords

maximum likelihood estimationmodel selectionclusteringmixture modelBICEMhierarchical BIC

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

Unnamed Item ⋮ A constrained maximum likelihood estimation for skew normal mixtures

Uses Software

• mclust
• UCI-ml
• Mixmod
• PRMLT

Cites Work

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• Parsimonious skew mixture models for model-based clustering and classification
• Competitive EM algorithm for finite mixture models
• The Schwarz criterion and related methods for normal linear models
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
• Model-Based Gaussian and Non-Gaussian Clustering
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

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