Measuring the complexity of generalized linear hierarchical models
- 1 March 2007
- journal article
- Published by Wiley in The Canadian Journal of Statistics / La Revue Canadienne de Statistique
- Vol. 35 (1) , 69-87
- https://doi.org/10.1002/cjs.5550350108
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Deviance information criteria for missing data modelsBayesian Analysis, 2006
- Conditional Akaike information for mixed-effects modelsBiometrika, 2005
- Bayesian Measures of Model Complexity and FitJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- Counting degrees of freedom in hierarchical and other richly-parameterised modelsBiometrika, 2001
- Structured Markov Chain Monte CarloJournal of Computational and Graphical Statistics, 2000
- Reference Bayesian Methods for Generalized Linear Mixed ModelsJournal of the American Statistical Association, 2000
- A prior for the variance in hierarchical modelsThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 1999
- Effects of Smoking Intervention and the Use of an Inhaled Anticholinergic Bronchodilator on the Rate of Decline of FEV1JAMA, 1994
- Approximate Inference in Generalized Linear Mixed ModelsJournal of the American Statistical Association, 1993
- Bayesian image restoration, with two applications in spatial statisticsAnnals of the Institute of Statistical Mathematics, 1991