DYNAMIC BAYESIAN NETWORK

A 'dynamic Bayesian network' is a Bayesian network that represents sequences of variables. These sequences are often time-series (for example in speech recognition) or sequences of symbols (for example protein sequences). The hidden Markov model can be considered as the most simple dynamic Bayesian network.
=References=
Learning Dynamic Bayesian Networks (1997), Zoubin Ghahramani,
Lecture Notes In Computer Science, Vol. 1387, 168-197