A Criterion for Parameter Identification in Structural Equation Models

Tian, Jin

arXiv.org Artificial Intelligence 

This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. The paper establishes a sufficient criterion for identifying individual causal effects and provides a procedure computing identified causal effects in terms of observed covariance matrix.

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