 Latent variables present a further complication. Unlike the case where the error variables \(U_i\) are probabilistically independent, a SEM with correlated error terms may imply probabilistic constraints in addition to conditional (in)dependence relations, even in the absence of further assumptions about functional form. This means that we may be able to rule out some of the ADMGs in the Markov equivalence class using different kinds of probabilistic constraints.