D-separation for applied researchers: understanding how to interpret directed acyclic graphs

2025/02/19 by Hartwig, Fernando Pires, Feeney, Timothy, Davies, Neil
#FOS: Computer and information sciences #Methodology (stat.ME)

paper · doi:10.48550/arxiv.2502.13736

Abstract

The assumed causal relationships depicted in a DAG are interpreted using a set of rules called D-separation rules. Although these rules can be implemented automatically using standard software, at least a basic understanding of their principles is useful for properly using and interpreting DAGs in practice.

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