AI, Data Science, Predictions, Machine Learning, Causal Inference.
noise on Y) Classical estimators often rely on a fundamental assumption of independent and identically distributed data (i.i.d). This ubiquitous assumption plays a critical role when attempting to use estimators for interventional analysis as the intervention changes the data distribution.