Abstract
Directed acyclic graphs (DAGs) have become increasingly popular to communicate, model and manage complex systems efficiently. They also represent a major tool in probabilistic expert systems. We address the issue of model determination for DAGs, with respect to a given ordering of the variables, together with the corresponding parameter estimation, and show how this can be done in a simple way using available software for Bayesian data analysis, such as BUGS
Lingua originale | English |
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pagine (da-a) | 243-256 |
Numero di pagine | 14 |
Rivista | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN |
Volume | 50 |
DOI | |
Stato di pubblicazione | Pubblicato - 2001 |
Keywords
- Bayesian model selection
- Bayesian network