Constrained multilevel latent class models for the analysis of three-way three-mode binary data

DOI10.1007/s00357-013-9141-8zbMath1360.62530OpenAlexW2132456302MaRDI QIDQ269109

Michel Meulders, Francis Tuerlinckx, Wolf Vanpaemel

Publication date: 18 April 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/406839

zbMATH Keywords

three-way datalatent featuremultilevel latent class model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Applications of statistics to psychology (62P15)

Uses Software

• Latent GOLD
• bootstrap

Cites Work

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• Probability matrix decomposition models
• Fitting of mixtures with unspecified number of components using cross validation distance estimate
• A hierarchical mixture model for clustering three-way data sets
• Estimating the dimension of a model
• Constrained latent class analysis of three-way three-mode data
• Estimating multiple classification latent class models
• A taxonomy of latent structure assumptions for probability matrix decomposition models
• Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations
• Mixture of Experts Classification Using a Hierarchical Mixture Model
• Clustering Discrete Choice Data
• Probabilistic Feature Analysis of Facial Perception of Emotions
• Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations.
• A new look at the statistical model identification

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