Causal Inference, Instrumental Variable, Ab Testing, Encouragement Design, Average Treatment Effect.
continuously collecting more data which provide increasing confidence. Summary and Conclusions Estimating the Average Treatment Effect is crucially important for a wide variety of Data Science scenarios from informing business decisions to improving existing Artificial Intelligence systems. Doing