Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances

In this work, we consider the identifiability assumption of Gaussian linear structural equation models (SEMs) in which each variable is determined by a linear function of its parents plus normally distributed error. It has been shown that linear Gaussian structural equation models are fully identifiable if all error variances are the same or known... (read more)

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