Markov Properties for Graphical Models with Cycles and Latent Variables

24 Oct 2017Patrick ForréJoris M. Mooij

We investigate probabilistic graphical models that allow for both cycles and latent variables. For this we introduce directed graphs with hyperedges (HEDGes), generalizing and combining both marginalized directed acyclic graphs (mDAGs) that can model latent (dependent) variables, and directed mixed graphs (DMGs) that can model cycles... (read more)

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