How do we infer [ causality ] from observational data? This question is important in science and is closely related to the progress of…
see [ causal inference ] Great Causality & ML Papers and Researchers – Blog (logangraham.xyz)
Level 3 of Pearl's [ causal inference ] hierarchy: questions of the form 'given that (X, Y) happened, what would have happened if (X', Y…
References: ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus , Causal Inference 2: Illustrating Interventions via a Toy…
The [ front-door adjustment ] allows identifying causal affects using a mediating variable that sits on the causal chain between X and Y…
Different experimental conditions may give rise to different outcomes . For example, let the variable indicate whether a person is…
a powerful tool for establishing [ causality ]