Causal sufficiency refers to the assumption that no common cause of any pair of nodes in the network remains unmodeled (i.e., no confounding occurs).
Unmodeled confounds can create spurious edges in the network; below, the unmodeled confound C can cause such an edge between Y and Z.
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Causal sufficiency refers to the assumption that no common cause of any pair of nodes in the network remains unmodeled (i.e., no confounding occurs).
Unmodeled confounds can create spurious edges in the network; below, the unmodeled confound C can cause such an edge between Y and Z.
2/11