Y0 is an open-source Python package implementing a broad suite of causal identification algorithms with a domain-specific language for queries and estimands.
On the Testable Implications of Causal Models with Hidden Variables
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abstract
The validity OF a causal model can be tested ONLY IF the model imposes constraints ON the probability distribution that governs the generated data. IN the presence OF unmeasured variables, causal models may impose two types OF constraints : conditional independencies, AS READ through the d - separation criterion, AND functional constraints, FOR which no general criterion IS available.This paper offers a systematic way OF identifying functional constraints AND, thus, facilitates the task OF testing causal models AS well AS inferring such models FROM data.
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cs.AI 1years
2025 1verdicts
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Causal identification with $Y_0$
Y0 is an open-source Python package implementing a broad suite of causal identification algorithms with a domain-specific language for queries and estimands.