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On Pearl's Hierarchy and the Foundations of Causal Inference

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AuthorsElias Bareinboim, Juan D. Correa, Duligur Ibeling, Thomas Icard
JournalProbabilistic and Causal Inference: The Works of Judea Pearl
Year2022

What Problem It Solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

What problem it solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

How it works

An overview of the Pearl Causal Hierarchy and the formal distinctions between associational, interventional, and counterfactual queries.

When to use it

Use when orienting a new paper, blog post, benchmark, or research plan in this area.

Limitations and failure modes

Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.

Read full paper →More Causal Inference

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