Size of interventional Markov equivalence classes in random DAG models

Size of interventional Markov equivalence classes in random DAG models

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© 2019 by the author(s). Directed acyclic graph (DAG) models are popular for capturing causal relationships. From observational and interventional data, a DAG model can only be determined up to its interventional Markov equivalence class (I-MEC). We investigate the size of MECs for random DAG models...

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Bibliographic Details
Main Authors: Katz, Dmitriy (Author), Shanmugam, Karthikeyan (Author), Uhler, Caroline (Author), Squires, Chandler (Author)
Other Authors: MIT-IBM Watson AI Lab (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: 2022-01-04T16:50:08Z.
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