Chain Graph Models and their Causal Interpretations (2001)

by Steffen L. Lauritzen , Thomas S. Richardson
Venue:B
Citations:48 - 4 self

Active Bibliography

10 Causal Inference – Peter Spirtes, Richard Scheines, Clark Glymour, Thomas Richardson, Christopher Meek
1 Causality in the Social and Behavioral Sciences – Judea Pearl - 2009
29 An Introduction to Causal Inference – Judea Pearl - 2009
Statistics and Causal Inference: A Review Judea Pearl ∗ – unknown authors
12 Statistics and Causal Inference: A Review – Judea Pearl - 2003
36 Learning Probabilistic Networks – Paul J Krause - 1998
59 Causal Inference from Graphical Models – Steffen L Lauritzen - 2001
The Foundations of Causal Inference: A Review – Judea Pearl - 2010
23 Causal inference in statistics: An Overview – Judea Pearl - 2009
Causal Inference in the Health Sciences: A Conceptual – unknown authors - 2001
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
2 Aspects Of Spatial Statistics, Stochastic Geometry And Markov Chain Monte Carlo Methods – Jesper Møller - 1999
12 The TETRAD Project: Constraint Based Aids to Causal Model Specification – Richard Scheines , Peter Spirtes, Clark Glymour, Christopher Meek, Thomas Richardson
6 The Foundations of Causal Inference – Judea Pearl - 2010
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
4 Sequences of regressions and their independences – Nanny Wermuth, Kayvan Sadeghi - 2012
7 Causal Inference in the Health Sciences: A Conceptual Introduction – Judea Pearl - 2001
Causal inference in statistics: – An Overview - 2009
13 Normal Linear Regression Models with Recursive Graphical Markov Structure – Steen A. Andersson, Michael D. Perlman - 1998