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
Consonni, G., Leucari, V., Model Determination for Directed Acyclic Graphs, <<JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN>>, 2001; 50 (--): 243-256. [doi:10.1111/1467-9884.00275] [http://hdl.handle.net/10807/12347]
Model Determination for Directed Acyclic Graphs
Consonni, Guido;Leucari, Valentina
2001
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
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