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A simple interpretation of undirected edges in essential graphs is wrong

Artificial intelligence for causal discovery frequently uses Markov equivalence classes of directed acyclic graphs, graphically represented as essential graphs, as a way of representing uncertainty in causal directionality. There has been confusion regarding how to interpret undirected edges in esse...

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Detalles Bibliográficos
Autor principal: Kummerfeld, Erich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031147/
https://www.ncbi.nlm.nih.gov/pubmed/33831048
http://dx.doi.org/10.1371/journal.pone.0249415

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