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Title Random effect and latent variable model selection / David B. Dunson, editor
Published New York ; London : Springer, ©2008


Description 1 online resource (ix, 169 pages)
Series Lecture notes in statistics, 0930-0325 ; 192
Lecture notes in statistics (Springer-Verlag) ; v. 192. 0930-0325
Contents Likelihood ratio testing for zero variance components in linear mixed models / Ciprian M. Crainiceanu -- Variance component testing in generalized linear mixed models for longitudinal/clustered data and other related topics / Daowen Zhang and Xihong Lin -- Bayesian model uncertainty in mixed effects models / Satkartar K. Kinney and David B. Dunson -- Bayesian variable selection in generalized linear mixed models / Bo Cai and David B. Dunson -- A unified approach to two-level structural equation models and linear mixed effects models / Peter M. Bentler and Jiajuan Liang -- Bayesian model comparison of structural equation models / Sik-Yum Lee and Xin-Yuan Song -- Bayesian model selection in factor analytic models / Joyee Ghosh and David B. Dunson
Summary Presents various methods for accommodating model uncertainty in random effects and latent variable models. This book focuses on frequentist likelihood ratio and score tests for zero variance components. It also focuses on Bayesian methods for random effects selection in linear mixed effects and generalized linear mixed models
Bibliography Includes bibliographical references and index
In Springer eBooks
Subject Latent variables.
Random data (Statistics)
Latent variables.
Random data (Statistics)
Latente Variable
Multivariate Daten
Genre/Form Aufsatzsammlung.
Form Electronic book
Author Dunson, David B.
ISBN 9780387767215