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I am interested in a canonical information geometry on spaces of probability distributions containing distributions with different parameter spaces. Let me give some context and practical motivation ...

I am a bit puzzled by the use of polytree to infer a posterior in a Bayesian Network (BN). BN are defined as directed acyclic graphs. A polytree is DAG whose underlying undirected graph is a tree. ...