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Autor principal: Yvernes, Clément
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2504.07921
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author Yvernes, Clément
author_facet Yvernes, Clément
contents In this note, we discuss the identifiability of a total effect in cluster-DAGs, allowing for cycles within the cluster-DAG (while still assuming the associated underlying DAG to be acyclic). This is presented into two key results: first, restricting the cluster-DAG to clusters containing at most four nodes; second, adapting the notion of d-separation. We provide a graphical criterion to address the identifiability problem.
format Preprint
id arxiv_https___arxiv_org_abs_2504_07921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Note on the identification of total effect in Cluster-DAGs with cycles
Yvernes, Clément
Statistics Theory
Artificial Intelligence
In this note, we discuss the identifiability of a total effect in cluster-DAGs, allowing for cycles within the cluster-DAG (while still assuming the associated underlying DAG to be acyclic). This is presented into two key results: first, restricting the cluster-DAG to clusters containing at most four nodes; second, adapting the notion of d-separation. We provide a graphical criterion to address the identifiability problem.
title Note on the identification of total effect in Cluster-DAGs with cycles
topic Statistics Theory
Artificial Intelligence
url https://arxiv.org/abs/2504.07921