Chain Graph Models and their Causal Interpretations (2001)

by Steffen L. Lauritzen , Thomas S. Richardson
Venue:B
Citations:51 - 4 self

Active Bibliography

872 A tutorial on learning with Bayesian networks – David Heckerman - 1995
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
59 Causal Inference from Graphical Models – Steffen L Lauritzen - 2001
30 An Introduction to Causal Inference – Judea Pearl - 2009
1 Causality in the Social and Behavioral Sciences – Judea Pearl - 2009
11 Statistics and Causal Inference: A Review – Judea Pearl - 2003
9 Causal Inference – Peter Spirtes, Richard Scheines, Clark Glymour, Thomas Richardson, Christopher Meek
846 Reversible jump Markov chain Monte Carlo computation and Bayesian model determination – Peter J. Green - 1995
454 On Bayesian analysis of mixtures with an unknown number of components – Sylvia Richardson, Peter J. Green - 1997