Unlike a standard node in a Bayesian network, a temporal node may require more than one distribution. To understand why, it is useful to unroll a dynamic Bayesian network, and look at the equivalent Bayesian network.
The distributions required for the dynamic Bayesian network are shown below.
|A||P(A)||At time 0, node A has no incoming links|
|A||P(A|A[-1])||At time 1, node A has a single incoming link from A at time 0|
|A||P(A|A[-2], A[-1])||At time 2 or more, A has two incoming links from A at time-1, and A at time-2|
|B||P(B|A)||At any time, B has a single incoming link from A at the same time|