STATS 256
Causality
Description: Lecture, three hours. Preparation: proficiency in basic R coding, probability theory, linear algebra, multivariate calculus, and statistics through inference and regression. Tools to pursue both theoretical and applied research in causality. S/U or letter grading.
Units: 4.0
Units: 4.0