Nonconjugate Bayesian Analysis of Variance Component Models

We consider the usual normal linear mixed model for variance components from a Bayesian viewpoint. With conjugate priors and balanced data, Gibbs sampling is easy to implement; however, simulating from full conditionals can become difficult for the analysis of unbalanced data with possibly nonconjug...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Biometrics 2000-09, Vol.56 (3), p.768-774
Hauptverfasser:	Wolfinger, Russell D., Kass, Robert E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis of Variance Bayes Theorem Bayesian analysis Bayesian inference Biometrics Biometry - methods Data sampling Datasets Density estimation Independence chain Internet Jeffreys' prior Linear models Markov Chains Mixed model Modeling Models, Statistical Monte Carlo Method Posterior simulation Reference prior REML Statistical variance
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!