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 a simple dynamic Bayesian network.
See also
Recursive Bayesian estimation
References
- Learning Dynamic Bayesian Networks (1997), Zoubin Ghahramani, Lecture Notes In Computer Science, Vol. 1387, 168-197
- [1] Friedman, N., Murphy, K., and Russell, S. (1998). Learning the structure of dynamic probabilistic networks. In UAI’98, pages 139–147. Morgan Kaufmann.
Software