Model Determination for Directed Acyclic Graphs
Guido Consonni, Valentina Leucari · Journal of the Royal Statistical Society Series D (The Statistician) · 2001
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