Causal Inference Methods

Paul explains the distinction between experimental and observational methods in causal inference, highlighting the challenges and importance of observational data in real-world scenarios. He delves into the various techniques within these categories, showcasing the evolving landscape of causal inference methods in different fields like economics and computer science.