Probabilities of Causation for Continuous Variables

This lecture by Jin Tian from MBZUAI explores the concept of probabilities of causation for continuous variables. During this 46-minute presentation at the Institut des Hautes Etudes Scientifiques (IHES), discover how causal inference methods can be extended beyond discrete variables to handle continuous data. Learn about the mathematical frameworks and methodological approaches that enable researchers to quantify causal relationships in continuous domains, an important advancement in the field of causal inference. The talk addresses challenges and solutions in applying probabilistic causation to real-world continuous data scenarios.