Model selection and sensitivity analysis for sequence pattern models.
Inst Math Stat Collect
; 1: 390-407, 2009 Jan 01.
Article
em En
| MEDLINE
| ID: mdl-20563269
ABSTRACT
In this article we propose a maximal a posteriori (MAP) criterion for model selection in the motif discovery problem and investigate conditions under which the MAP asymptotically gives a correct prediction of model size. We also investigate robustness of the MAP to prior specification and provide guidelines for choosing prior hyper-parameters for motif models based on sensitivity considerations.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Inst Math Stat Collect
Ano de publicação:
2009
Tipo de documento:
Article