Causal Inference is Necessary but Insufficient for Causal Inference.

Causal inference in studies and medical articles

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Causal Inference

This paper reviews a theory of causal inference based on the Structural Causal Model (SCM) described in (Pearl, 2000a). The theory unifies the graphical, potential-outcome (NeymanRubin), decision analytical, and structural equation approaches to causation, and provides both a mathematical foundation and a friendly calculus for the analysis of causes and counterfactuals. In particular, the paper...

Causal Inference

Causal Inference

Causal Inference for Recommendation

We develop a causal inference approach to recommender systems. Observational recommendation data contains two sources of information: which items each user decided to look at and which of those items each user liked. We assume these two types of information come from differentmodels—the exposure data comes from a model by which users discover items to consider; the click data comes from a model...