Bayesian Graphical Models for Discrete Data (1993)

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by David Madigan , Jeremy York
Citations:291 - 18 self

Active Bibliography

179 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
598 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
903 A tutorial on learning with Bayesian networks – David Heckerman - 1995
95 A characterization of Markov equivalence classes for acyclic digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1995
253 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
953 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
32 On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1994
39 Bayesian Model Averaging And Model Selection For Markov Equivalence Classes Of Acyclic Digraphs – David Madigan, Steen Andersson, Michael Perlman, Chris Volinsky - 1996
1176 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995