Discussion of ``Sampling schemes for generalized linear Dirichlet process random effects models by M. Kyung, J. Gill and G. Casella

DOI10.1007/S10260-011-0169-9zbMath1241.65005OpenAlexW1976546004MaRDI QIDQ413978

Subharup Guha

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/s10260-011-0169-9

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)

Cites Work

• Posterior Simulation in Countable Mixture Models for Large Datasets

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