ABSTRACT
Graphical modeling is a convenient theory for encoding the conditional dependencies between p random variables X1, . . . ,Xp by a graph g. Graphical models are used in many different frameworks (image analysis, physics, economics, etc.), and they have been proposed for investigating biological regulation networks, brain connections, etc.
