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 . This leads to the following expansion: .
Werhli BMC Genomics 2012 13(Suppl 5):S2 doi:10.1186/1471-2164-13-S5-S2