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Bernard J. Koch; Tim Sainburg; Pablo Geraldo Bastías; Song Jiang; Yizhou Sun; Jacob G. Foster – Sociological Methods & Research, 2025
This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…
Descriptors: Artificial Intelligence, Statistical Inference, Causal Models, Social Science Research