A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models

DOI10.1007/s00357-021-09392-7OpenAlexW3165472583MaRDI QIDQ2129301

Kazuhiro Yamaguchi, Jonathan L. Templin

Publication date: 22 April 2022

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

Full work available at URL: https://psyarxiv.com/undcv/

zbMATH Keywords

Bayesian inferenceMarkov chain Monte Carlo methodsGibbs samplingdiagnostic classification models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Variational Bayes inference for hidden Markov diagnostic classification models ⋮ An ordered feature recognition method based on ranking separability ⋮ A classification model for continuous responses: Identifying risk perception groups on health‐related activities ⋮ Direct estimation of diagnostic classification model attribute mastery profiles via a collapsed Gibbs sampling algorithm

Uses Software

• R
• CODA
• WinBUGS
• Mplus
• JAGS
• Stan
• Label.switching
• CDM

Cites Work

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