Random effect and latent variable model selection

Random effect and latent variable model selection

Dunson, D.B.

80,03 €(IVA inc.)

The book is divided into four sections featuring articles by experts in the various areas of model uncertainty in latent variable models. These are such recent topics that books have not yet emerged INDICE: Ciprian Crainiceanu, Likelihood ratio tests for inference on variance components in random effects models.- Xihong Lin, Variance component testing in generalized linear models with random effects.- Dongchu Sun, Priors for variance component testing.- Jiming Jiang, Frequentist subset selection in random effects models.- David Dunson and Saki Kinney, Bayesian variable selectionin linear and logistic mixed effects models.- Bo Cai and David Dunson, Bayesian variable selection in generalized linear mixed models.- Peter Bentler, Model comparison in structural equation models.- Ken Bollen and Surajit Ray, Bayesian model selection criteria for hierarchical and structural equation models.-Sik-Yum Lee, Comparing structural equation models using Bayes factors.

  • ISBN: 978-0-387-76720-8
  • Editorial: Springer
  • Encuadernacion: Rústica
  • Páginas: 190
  • Fecha Publicación: 01/08/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés