Deviance information criteria for missing data models
Gilles Celeux, Florence Forbes, Christian P Robert and Mike D Titterington
The deviance information criterion (DIC) introduced by is directly inspired by linear and generalised linear models, but it is not so naturally defined for missing data models. In this paper, we reassess the criterion for such models, testing the behaviour of various extensions in the cases of mixture and random effect models.
|Additional Information:||Model Selection|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Subjects:||Theory & Algorithms|
|Deposited By:||Gilles Celeux|
|Deposited On:||29 November 2005|