Directed acyclic graph (DAG) representing a probabilistic graphical model where variable Y influences variables X1 through X6, alongside structural dependencies between the X variables.
Directed acyclic graph showing a Bayesian network with node Y as a parent to nodes X1 through X6 and additional dependencies.
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