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Note on the identification of total effect in Cluster-DAGs with cycles

arXiv 2504.07921 ↗First posted 10 Apr 2025math.ST cs.AI stat.THcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 1 of its 5 references that are in the map. First posted on arXiv 10 Apr 2025.

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1 of 5 references.

References · 1

  1. 2024Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confoundingcited by 8

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Citing papers per year: 2025: 2.

2 papers.

  1. 2025Identifying Macro Causal Effects in C-DMGs over DMGscited by 2
  2. 2025Cluster-Dags as Powerful Background Knowledge For Causal Discoverycited by 1