Resolution:
standard / ## Figure 3.
Probabilistic Model. The probabilistic graphical model represents conditional independence relationships
between the data , the network structure , and the hyper-parameter of the prior on . The conditional independence relationships can be obtained from the graph according
to the standard rules of factorization in Bayesian networks, as discussed, e.g., in
[34]. This leads to the following expansion: .
Werhli |