Model selection and accounting for model uncertainty in graphical models using Occam's window (1993)

by David Madigan , Adrian E. Raftery
Citations:265 - 46 self

Active Bibliography

7 Enhancing the Predictive Performance of Bayesian Graphical Models – David Madigan, Fred Hutchinson - 1995
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
1 Software for Data Analysis With Graphical Models – Wray Buntine, H. Scott Roy - 1995
226 Bayesian Graphical Models for Discrete Data – David Madigan, Jeremy York - 1993
246 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
30 On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1994
91 A characterization of Markov equivalence classes for acyclic digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1995
36 Learning Probabilistic Networks – Paul J Krause - 1998
973 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
21 Graphical Models for Probabilistic and Causal reasoning – Judea Pearl - 2004
901 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
297 A Tutorial on Learning Bayesian Networks – David Heckerman - 1995
38 Bayesian Model Averaging And Model Selection For Markov Equivalence Classes Of Acyclic Digraphs – David Madigan, Steen Andersson, Michael Perlman, Chris Volinsky - 1996
175 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
29 A characterization of the Dirichlet distribution through global and local parameter independence, The Annals of Statistics – Author(s) Dan Geiger, David Heckerman, Geiger, David Heckerman - 1997
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
6 Bayesian Selection of Log-Linear Models – James H. Albert - 1995
47 Model Selection and Accounting for Model Uncertainty in Linear Regression Models – Adrian Raftery, David Madigan, Jennifer Hoeting - 1993