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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2502.13736 |
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| _version_ | 1866929720192401408 |
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| author | Hartwig, Fernando Pires Feeney, Timothy Davies, Neil |
| author_facet | Hartwig, Fernando Pires Feeney, Timothy Davies, Neil |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_13736 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | D-separation for applied researchers: understanding how to interpret directed acyclic graphs Hartwig, Fernando Pires Feeney, Timothy Davies, Neil Methodology 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. |
| title | D-separation for applied researchers: understanding how to interpret directed acyclic graphs |
| topic | Methodology |
| url | https://arxiv.org/abs/2502.13736 |