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

http://ftp.cs.ucla.edu/pub/stat_ser/uai12-mohan-pearl.pdf

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

Enjoy

1 Comment »

  1. thank you for sharing this Tutorial slides on Graphical Models for Causal Inference

    Comment by Husen Darmawan — May 22, 2015 @ 2:56 am

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