Getting Started

• Causal feature selection tutorial: A technical report, by Isabelle Guyon, Constantin Aliferis, and André Elisseeff. A shorter version appeared in “Computational Methods of Feature Selection”, Huan Liu and Hiroshi Motoda Eds., Chapman and Hall/CRC Press, 2007.
• Introduction to Graphical Models and Bayesian Networks: A short tutorial to get acquainted with Bayesian networks.
• Causality by Judea Pearl.
• Fundamentals of statistical causality by Phil Dawid.
• Other suggested readings: A list of introductory papers and book chapters.
• Causality Lab: A pedagogical program with a simple GUI to learn about causality.
• BayesNets.com: Other resources on Bayesian Networks.

Teaching material

• Easy causal experiments and scientific models for kids