A partial EM algorithm for model-based clustering with highly diverse missing data patterns

DOI10.1002/STA4.437MaRDI QIDQ6543853

Ryan P. Browne, Paul D. McNicholas, Christopher J. Findlay

Publication date: 27 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

missing datamixture modelsbalanced-incomplete-blockpartial EMsensometrics

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Estimating the dimension of a model
• The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
• Model-based clustering
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Detecting Features in Spatial Point Processes with Clutter via Model-Based Clustering
• Model-Based Gaussian and Non-Gaussian Clustering
• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Bayes Factors
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