Characterizing the variance improvement in linear Dirichlet random effects models

DOI10.1016/j.spl.2009.08.024zbMath1176.62067OpenAlexW2058744494MaRDI QIDQ1036611

George Casella, Jeff Gill, Minjung Kyung

Publication date: 13 November 2009

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.08.024

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Eigenvalues, singular values, and eigenvectors (15A18)

Related Items

Sampling schemes for generalized linear Dirichlet process random effects models, Estimation of regression vectors in linear mixed models with Dirichlet process random effects, Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors, Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics, Bayes Variable Selection in Semiparametric Linear Models, New findings from terrorism data: Dirichlet process random-effects models for latent groups, Characterizing the variance improvement in linear Dirichlet random effects models

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