An efficient MCEM algorithm for fitting generalized linear mixed models for correlated binary data

DOI10.1080/10629360600843153zbMath1131.62065OpenAlexW2083422604MaRDI QIDQ5454202

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Publication date: 28 March 2008

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

Full work available at URL: https://doi.org/10.1080/10629360600843153

zbMATH Keywords

Gibbs samplergeneralized linear mixed modelsdata augmentationcorrelated binary dataMCMCMonte Carlo EM algorithminverse Bayes formula

Mathematics Subject Classification ID

Related Items (7)

Generalized Linear Mixed Models With Crossed Effects and Unit-specific Survey Weights ⋮ Fast inference for robust nonlinear mixed-effects models ⋮ Efficient direct sampling MCEM algorithm for latent variable models with binary responses ⋮ Estimation of a digitised Gaussian ARMA model by Monte Carlo expectation maximisation ⋮ Estimation and prediction of a generalized mixed-effects model with \(t\)-process for longitudinal correlated binary data ⋮ An efficient Monte Carlo EM algorithm for Bayesian lasso ⋮ Generalized linear mixed models for correlated binary data with \(t\)-link

Uses Software

• tsbridge

Cites Work

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