Flexible modelling of random effects in linear mixed models -- a Bayesian approach

DOI10.1016/j.csda.2007.09.005zbMath1452.62498OpenAlexW2041606628MaRDI QIDQ1023461

Remus K. W. Ho, Inchi Hu

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.09.005

zbMATH Keywords

random effectshierarchical modelBayesianmixture modelslinear mixed modelRJMCMC algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Bayesian inference (62F15)

Related Items (4)

Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process ⋮ Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population ⋮ Growth rate models: emphasizing growth rate analysis through growth curve modeling ⋮ Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects

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