Classical Strategies and Concepts in Causal Discovery

In this lecture from the recent Causality Boot Camp, Dan Malinsky presents an overview of the classical strategies (constraint-based algorithms, score-based algorithms) in learning causal directed acyclic graphs (DAGs). His presentation covers relevant graphical and statistical concepts, including Markov equivalence, faithfulness, conditional independence testing, and others.