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88
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Causes and explanations: A structural-model approach
– Joseph Y. Halpern, Judea Pearl
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32
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Reasoning With Cause And Effect
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9
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Structure-based causes and explanations in the independent choice logic
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9
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Causes and Explanations in the Structural-Model Approach: Tractable Cases
– Thomas Eiter, Thomas Lukasiewicz
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6
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Complexity Results for Explanations in the Structural-Model Approach
– Thomas Eiter, Thomas Lukasiewicz
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8
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Probabilities of causation: Three counterfactual interpretations and their identification
– Judea Pearl
- 1999
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20
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Defining Explanation in Probabilistic Systems
– Urszula Chajewska, Joseph Y. Halpern
- 1997
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12
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Probabilities of Causation: Bounds and Identification
– Jin Tian, Judea Pearl
- 2000
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2
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Caveats for causal reasoning with equilibrium models
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38
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Graphs, Causality, And Structural Equation Models
– Judea Pearl
- 1998
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3
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A New Characterization of the Experimental Implications of Causal Bayesian Networks
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2
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Reversible Causal Mechanisms in Bayesian Networks
– Hans Van Leijen, Marek J. Druzdzel
- 1998
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41
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Probabilistic Evaluation of Counterfactual Queries
– Alexander Balke, Er Balke, Judea Pearl
- 1994
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248
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A Tutorial on Learning Bayesian Networks
– David Heckerman
- 1995
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752
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Learning Bayesian networks: The combination of knowledge and statistical data
– David Heckerman, David M. Chickering
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27
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Learning Probabilistic Networks
– Paul J Krause
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11
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Statistics and Causal Inference: A Review
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710
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A tutorial on learning with Bayesian networks
– David Heckerman
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98
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Learning Bayesian Networks is NP-Hard
– David Chickering, Dan Geiger, David Heckerman
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