My understanding of influence networks is that they are essentially belief networks which have the capability of including uncertainty or hidden nodes with unknown behavior.Since a Markov model is essentially a belief network where every node has a corresponding hidden node, should Markov models be considered as a special case of an influence network?
Is a Markov model a special case of an influence network?
hidden markov models;bayesian statistics