Sampling schemes for generalized linear Dirichlet process random effects models

DOI10.1007/s10260-011-0168-xzbMath1241.65007OpenAlexW2115865619MaRDI QIDQ413971

Jeff Gill, Minjung Kyung, George Casella

Publication date: 8 May 2012

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-011-0168-x

zbMATH Keywords

numerical examplesdata analysisDirichlet processMetropolis-Hastings algorithmGibbs samplinglinear mixed modelsgeneralized linear mixed modelsslice samplinghierarchical modelsKolmogorov-Smirnov mixture representationMarkov chain Monte Carlo (MCMC) sampling schemes

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

A Computational Bayesian Method for Generalized Semiparametric Regression Models, Estimation in Dirichlet random effects models, Characterizing the variance improvement in linear Dirichlet random effects models

Uses Software

• Fahrmeir

Cites Work

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