Path: utzoo!utgpu!water!watmath!clyde!bellcore!rutgers!gatech!bloom-beacon!duttnphg.UUCP!hans From: hans@duttnphg.UUCP (Hans Buurman) Newsgroups: comp.ai.digest Subject: Spiegelhalter's causal graph's Message-ID: <19880712043416.4.NICK@HOWARD-JOHNSONS.LCS.MIT.EDU> Date: 12 Jul 88 04:34:00 GMT Sender: daemon@bloom-beacon.MIT.EDU Organization: The Internet Lines: 28 Approved: ailist@ai.ai.mit.edu Organisation: University of Technology, Delft The Netherlands. Date: Mon, 4 Jul 88 11:42 EDT From: Hans BuurmanTo: AIList-REQUEST@ai.ai.mit.edu Subject: Spiegelhalter's causal graph's I'm interested in using a causal model as described in: Spiegelhalter, D.J., "Probabilistic Reasoning in Predictive Ex- pert Systems," in: Uncertainty in Artificial Intelligence, ed. L.N. Kanal, J.F. Lemmer, pp. 47-67, North-Holland, Am- sterdam, 1986. Spiegelhalter represents his model in a graph to which he applies probabilistic theory under a Markov assumption. Could anybody give me pointers in literature to applications or criticism of this model ? I've seen some work by Pearl but I wonder how much there is. Any help would be very much appreciated. Thanks in advance, Hans Buurman Pattern Recognition Group Faculty of Applied Physics Delft University of Technology UUCP: ..!mcvax!dutrun!duttnphg!hans BITNET: tnphhbu@hdetud1