Active Bibliography

753 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
872 A tutorial on learning with Bayesian networks – David Heckerman - 1995
607 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
924 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
1012 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
520 Learning probabilistic relational models – Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - 1999
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
846 Reversible jump Markov chain Monte Carlo computation and Bayesian model determination – Peter J. Green - 1995