I wonder how I should interpret the edge weights in a bayesian network context for directed edges; I expect it is the mutual information, but how is the mathematically represented. The probability of the nodes I understand to be posterior or marginal probability, but the edges are slightly more ambiguous. Please could an expert in this area comment on this?