Fig. 3

Forms of conditional independences involving continuous nodes in GHPM. a Causal chain. This shows that the probability of a continuous variable in the ground hybrid probabilistic model only depends on its imaginary discrete variable. b Common ancestor. This implies that discrete and continuous variables in the ground hybrid probabilistic model are conditionally independent given an imaginary discrete variable as their common ancestor