Are Neural Representation Learning Methods a Viable Alternative to TMLE for Causal Estimation?
{Simulation is used to evaluate the performance of deep learning and semiparametric causal estimators under realistic high- and low-dimensional data-generating mechanisms from epidemiologic studies.} Deep learning models that leverage representation learning have recently gained attention for estima...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Taylor & Francis Group
2025-12-01
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| Collection: | Data Science in Science |
| Sujets: | |
| Accès en ligne: | https://www.tandfonline.com/doi/10.1080/26941899.2025.2583507 |
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