A random vector arises from a linear non-Gaussian acyclic model with graph G if and only if certain matrices built from its second- and third-order moments have rank exactly equal to the number of parents of each vertex.
Symmetric tensors and symmetric tensor rank
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Algebraic Constraints for Linear Acyclic Causal Models
A random vector arises from a linear non-Gaussian acyclic model with graph G if and only if certain matrices built from its second- and third-order moments have rank exactly equal to the number of parents of each vertex.