• Corpus ID: 235899253

Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables

@inproceedings{Finkelstein2021EntropicIC,
  title={Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables},
  author={Noam Finkelstein and Beata Zjawin and Elie Wolfe and Ilya Shpitser and Robert W. Spekkens},
  booktitle={UAI},
  year={2021}
}
Directed acyclic graphs (DAGs) with hidden variables are often used to characterize causal relations between variables in a system. When some variables are unobserved, DAGs imply a notoriously complicated set of constraints on the distribution of observed variables. In this work, we present entropic inequality constraints that are implied by eseparation relations in hidden variable DAGs with discrete observed variables. The constraints can intuitively be understood to follow from the fact that… 

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