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
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Chad Hazlett

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