here I will post first mainly about my master's thesis (a lot of stats and ml).
Judea Pearl. 2000. Causality. New York: Cambridge University Press. ↩
Mark J. van der Laan and Sherri Rose. 2018. Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (1st. ed.). Springer Publishing Company, Incorporated. ↩
using a GLM to fit our model ensures statistical properties are indeed respected, like the need for our model to support a normal distribution. []: One could fit other ML models, but that would require more care in the model's assumptions. ↩