A General Identification Condition for Causal Effects¶
Tian, J., & Pearl, J. (2002). A General Identification Condition for Causal Effects. Proceedings of the 18th National Conference on Artificial Intelligence (AAAI), 567-573.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Identifiability
- In causal inference it is the do-calculus identification problem — given a causal DAG and a set of observed variables, when can an interventional distribution be expressed in terms of observed distributions? — and here it is decidable, with an algorithm returning either a formula or a proof of non-identifiability.
This sourceProvides a graphical criterion (later completed into a sound and complete algorithm) deciding when an interventional distribution is identifiable from observed distributions given a causal DAG.
Supported in partVerified against the work's full text
Tian & Pearl (2002) supplies the identification setting — effects of interventions from nonexperimental data under assumptions encoded in a causal DAG with unobserved variables — but not the formula-or-proof algorithm.
“This paper concerns the assessment of the effects of actions or policy interventions from a combination of: (i) nonexperimental data, and (ii) substantive assumptions. The assumptions are encoded in the form of a directed acyclic graph, also called "causal graph," in which some variables are presumed to be unobserved.”
- In causal inference it is the do-calculus identification problem — given a causal DAG and a set of observed variables, when can an interventional distribution be expressed in terms of observed distributions? — and here it is decidable, with an algorithm returning either a formula or a proof of non-identifiability.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:a7409124309b · see in the full table