Axiomatizing Causal Reasoning (2000)

by Joseph Y. Halpern
Venue:J. Artif. Intell. Res
Citations:65 - 5 self

Active Bibliography

118 Causes and explanations: A structural-model approach – Joseph Y. Halpern, Judea Pearl - 2001
6 Complexity Results for Explanations in the Structural-Model Approach – Thomas Eiter, Thomas Lukasiewicz - 2002
10 Causes and Explanations in the Structural-Model Approach: Tractable Cases – Thomas Eiter, Thomas Lukasiewicz - 2002
36 Reasoning With Cause And Effect – Judea Pearl - 1999
13 Structure-based causes and explanations in the independent choice logic – Alberto Finzi, Thomas Lukasiewicz - 2003
23 Defining Explanation in Probabilistic Systems – Urszula Chajewska, Joseph Y. Halpern - 1997
11 Probabilities of causation: Three counterfactual interpretations and their identification – Judea Pearl - 1999
6 Mendelian Randomisation: Why Epidemiology needs a Formal Language for Causality – Vanessa Didelez, Nuala A. Sheehan
16 Probabilities of Causation: Bounds and Identification – Jin Tian, Judea Pearl - 2000
6 Probabilities of causation: Bounds and identi cation – Jin Tian, Judea Pearl - 2000
Contents lists available at ScienceDirect Artificial Intelligence – unknown authors
5 Caveats for Causal Reasoning with Equilibrium Models – Denver Dash, Marek Druzdzel - 2003
44 Graphs, Causality, And Structural Equation Models – Judea Pearl - 1998
ANew Characterization of the Experimental Implications of Causal Bayesian Networks – Jin Tian, Judea Pearl
3 A New Characterization of the Experimental Implications of Causal Bayesian Networks – Jin Tian, Judea Pearl
2 Reversible Causal Mechanisms in Bayesian Networks – Hans Van Leijen, Marek J. Druzdzel - 1998
913 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
299 A Tutorial on Learning Bayesian Networks – David Heckerman - 1995
46 Probabilistic Evaluation of Counterfactual Queries – Alexander Balke, Er Balke, Judea Pearl - 1994