An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study

DOI10.1177/1471082X17699299OpenAlexW2610404805MaRDI QIDQ5142182

Reyhaneh Rikhtehgaran

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x17699299

zbMATH Keywords

Markov chain Monte Carlomodel-based clusteringDirichlet process priorvariance shift modelscourse-evaluation datatransition mixed-effects models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Regularization in dynamic random‐intercepts models for analysis of longitudinal data

Uses Software

• Matlab
• BUGS

Cites Work

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• Mixture Model-Based Classification
• Classification of Non-Parametric Regression Functions in Longitudinal Data Models
• Monte Carlo sampling methods using Markov chains and their applications

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