Modeling a mixture of ordinal and continuous repeated measures

DOI10.1080/00949650701480259zbMath1149.62014OpenAlexW1997886243MaRDI QIDQ3543757

W. John Boscardin, Xiao Zhang, Thomas R. Belin

Publication date: 4 December 2008

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650701480259

zbMATH Keywords

Gibbs samplerMetropolis-Hastings algorithmdata augmentationmultivariate probit modelparameter extension

Mathematics Subject Classification ID

Related Items (3)

Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence ⋮ A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values ⋮ Bayes factor testing of equality and order constraints on measures of association in social research

Cites Work

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• Inference from iterative simulation using multiple sequences
• Estimation of a covariance matrix using the reference prior
• Analysis of multivariate probit models
• Parameter expansion to accelerate EM: the PX-EM algorithm
• Multivariate Dispersion Models Generated From Gaussian Copula

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