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Targeted L(1)-Regularization and Joint Modeling of Neural Networks for Causal Inference

The calculation of the Augmented Inverse Probability Weighting (AIPW) estimator of the Average Treatment Effect (ATE) is carried out in two steps, where in the first step, the treatment and outcome are modeled, and in the second step, the predictions are inserted into the AIPW estimator. The model m...

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Detalles Bibliográficos
Autores principales: Rostami, Mehdi, Saarela, Olli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497603/
https://www.ncbi.nlm.nih.gov/pubmed/36141175
http://dx.doi.org/10.3390/e24091290