Latent class models for mixed variables with applications in archaeometry

DOI10.1016/j.csda.2004.03.001zbMath1430.62254OpenAlexW2054880594MaRDI QIDQ957143

Irini Moustaki, Ioulia Papageorgiou

Publication date: 26 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.csda.2004.03.001

zbMATH Keywords

ordinalEM algorithmlatent class modelsarchaeometrymetric and mixed variablesnominal

Mathematics Subject Classification ID

Applications of statistics (62P99)

Related Items (10)

Variable assessment in latent class models ⋮ Unifying data units and models in (co-)clustering ⋮ Model-based clustering of Gaussian copulas for mixed data ⋮ A tractable multi-partitions clustering ⋮ Consensus theory for mixed response formats ⋮ Variable selection for model-based clustering using the integrated complete-data likelihood ⋮ Gaussian-based visualization of Gaussian and non-Gaussian-based clustering ⋮ A factor mixture analysis model for multivariate binary data ⋮ Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models ⋮ Latent class models for financial data analysis: some statistical developments

Uses Software

• mclust
• Latent GOLD

Cites Work

• A mixture likelihood approach for generalized linear models
• MCLUST: Software for model-based cluster analysis
• A latent trait and a latent class model for mixed observed variables
• Exploratory latent structure analysis using both identifiable and unidentifiable models
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