A new graphical criterion certifies when causal effects in linear models with arbitrarily connected latent variables are identifiable from the covariance matrix.
H., Chernozhukov, V., and Fernández-Val, I
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Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
A new graphical criterion certifies when causal effects in linear models with arbitrarily connected latent variables are identifiable from the covariance matrix.