Assessing the variability of posterior probabilities in Gaussian model-based clustering

DOI10.1080/03610918.2021.1894334OpenAlexW3138271423MaRDI QIDQ6172137

Jeffrey L. Andrews, Ryan P. Browne, Unnamed Author

Publication date: 18 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1894334

zbMATH Keywords

bootstrapEM algorithmmodel-based clusteringmixture modelsvariability of posterior probabilities

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• On the distribution of posterior probabilities in finite mixture models with application in clustering
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• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Assessing the performance of an allocation rule
• Confidence Intervals for the Conditional Probability of Misallocation in Discriminant Analysis
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• Mathematical Statistics

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