Talk:Bayesian network
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The article as it stands (2003/12/26) limits the definition unnecessarily. I'm going to edit the article to address these points: (1) a node can represent any kind of variable, not just discrete random variables; variables need not be discrete, and they need not be random. (2) the arcs don't represent correlation; correlation in probability theory has a certain well-defined meaning which is not applicable here. What arcs do represent is conditional dependence. (3) "Conditional probability table" assumes that the variables involved are discrete; need to allow for continuous variables. (4) The list of applications can be expanded.
I've addressed (or tried to) items (1) through (3) above. Wile E. Heresiarch 07:41, 27 Dec 2003 (UTC)
An example would be very helpful in this article. Banno 01:05, Jul 7, 2004 (UTC)
learning
It might be interesting to put some comments about the learning of the BNs