More Complex Cases: Hybrid Bayesian Networks
Marco Scutari, Jean-Baptiste Denis · 2014
In Chapters 1 and 2 we considered BNs with either discrete or continuous variables. Moreover, in each BN all variables followed probability distributions belonging to the same family: multinomial or multivariate normal. In the following, we would like to show that there are no theoretical reasons for such restrictions and that, according to the phenomenon under investigation: 1. we can mix discrete and continuous variables and 2. we can use any kind of distribution.