Bayesian Model Averaging And Model Selection For Markov Equivalence Classes Of Acyclic Digraphs (1996)

Cached

Download Links

by David Madigan , Steen Andersson , Michael Perlman , Chris Volinsky
Venue:Communications in Statistics: Theory and Methods
Citations:38 - 5 self

Active Bibliography

92 A characterization of Markov equivalence classes for acyclic digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1995
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
9 A graphical characterization of lattice conditional independence models – Steen A. Andersson, David Madigan, Michael D. Perlman, Christopher M. Triggs - 1997
249 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
227 Bayesian Graphical Models for Discrete Data – David Madigan, Jeremy York - 1993
7 The Size Distribution for Markov Equivalence Classes of Acyclic Digraph Models – Steven B. Gillispie, Michael D. Perlman - 2001
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
1 Learning Belief Networks in Pseudo-independent Domains – Yang Xiang, C Fl Yang Xiang, Ss A, Y. Xiang - 1996
2 Bayesian Networks for Genomic Analysis – Paola Sebastiani, Maria M. Abad, Marco F. Ramoni - 2004
30 On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1994
3 Towards an inclusion driven learning of Bayesian Networks – Robert Castelo, Tomas Kocka - 2002
37 Improved learning of Bayesian networks – Robert Castelo, Craig Boutilier - 2001
unknown title – Learning Bayesian
MODELS AND THE CHARACTERIZATION OF SEVERAL PROBABILITY DISTRIBUTIONS – Author(s) Dan Geiger, David Heckerman, Geiger, David Heckerman
23 A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks – Y. Xiang, S.K.M. Wong, N. Cercone - 1995
Bayesian AI Tutorial – Kevin B. Korb, Ann E. Nicholson
36 Learning Probabilistic Networks – Paul J Krause - 1998
49 An Alternative Markov Property for Chain Graphs – Steen Andersson, David Madigan, Michael Perlman - 1996
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997