STATS 256
Causality
Lecture, three hours; discussion, one hour. 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.
Sources
- Course catalogue ↗2026-2027