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Pearl: Causal diagrams for empirical research

Presented a graphical framework for representing causal assumptions and deriving when causal effects are identifiable from observational or experimental information.

What is recorded here?

Presented a graphical framework for representing causal assumptions and deriving when causal effects are identifiable from observational or experimental information.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is Pearl's sole-author 1995 Biometrika paper and its nonparametric graphical identification framework. It does not absorb the whole history of causal inference, every later do-calculus result or all causal-discovery methods.

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People and systems

Judea Pearl

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Pearl: Causal diagrams for empirical research

Presented a graphical framework for representing causal assumptions and deriving when causal effects are identifiable from observational or experimental information.

Scientific scope

The record is Pearl's sole-author 1995 Biometrika paper and its nonparametric graphical identification framework. It does not absorb the whole history of causal inference, every later do-calculus result or all causal-discovery methods.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Judea Pearl

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources