Background Material

• The Categorical Simplex

Rubin’s Causal Framework:

• Potential Outcome Models
• Average Causal Effect
• Randomized Controlled Trials (RCTs)

Pearl’s Framework:

• d-separation
• Causal Inference in R

Applications

• The Causal Inverse Problem

External Resources

• For an intro to Pearlian causality, I recommend this powerpoint and this talk.
• This SEP section explores the philosophical underpinnings in more depth.
• Contrast Pearl vs Rubin’s causal model here: ([1] [2] [3] [4]).
• SWIGs: Richardson’s attempt to unite Pearl & Rubin’s contrasting traditions.