his example is available in BNT/examples/dynamic/bat1.m.




<h1><a name="inf">Inference</h1>


The general inference problem for DBNs is to compute
P(X(i,t0) | Y(:, t1:t2)), where X(i,t) represents the i'th hidden
variable at time t and  Y(:,t1:t2) represents all the evidence
between times t1 and t2. 
There are several special cases of interest, illustrated below.
The arrow indicates t0: it is X(t0) that we are trying to estimate.
The shaded region denotes t1:t2, the available data.
<p>

<img src="Figures/