Causal Analysis in Theory and Practice

September 20, 2012

Tutorial slides on Graphical Models for Causal Inference

Filed under: General — moderator @ 6:30 pm

The slides used in a recent UAI tutorial on
“Graphical Models for Causal Inference” are now
available for public view and public use.
click on

The slides were prepared by Karthika Mohan
and the topics include:

1. probabilitic graphical models
2. Markov compatibility
3. d-separation
4. Interventions
5. Causal effects identification
6. do-Calculus
7. C-components
8. Counterfactuals
9. Markov Equivalence
10. MAGs
11. Confounding Equivalence
12. Instrumental Variables
13. Verma’s constraints


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