Causal additive models with smooth backfitting
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference. The estimation procedure of the additive structural equation functions is based on a novel...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
De Gruyter
2025-10-01
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| Serie: | Journal of Causal Inference |
| Ämnen: | |
| Länkar: | https://doi.org/10.1515/jci-2024-0035 |
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