http://www.graphpad.com/quickcalcs/ttest1.cfm the DGMs studied in (Bui et al., 2009).
dynamic Bayesian Networks (dBNs) are a popular model for probabilistic sequence modeling because they exploit structure in the problem to compactly represent distributions over multi-state and observation variables.