What Is a Causal Graph?
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914679629021184 |
|---|---|
| author | Dawid, Philip |
| author_facet | Dawid, Philip |
| contents | This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these we describe the relevant formal or informal semantics governing that representation. It is suggested that the cleanest such representation is that embodied in an augmented DAG, which contains nodes for non-stochastic intervention indicators in addition to the usual nodes for domain variables. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_09429 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | What Is a Causal Graph? Dawid, Philip Statistics Theory 62A99 This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these we describe the relevant formal or informal semantics governing that representation. It is suggested that the cleanest such representation is that embodied in an augmented DAG, which contains nodes for non-stochastic intervention indicators in addition to the usual nodes for domain variables. |
| title | What Is a Causal Graph? |
| topic | Statistics Theory 62A99 |
| url | https://arxiv.org/abs/2402.09429 |