Probability, Statistics, and Computational Methods for Econometrics

4 units · Graduate courses (200-299)

Lecture, three hours. Designed for PhD students. Introduction to probabilistic, statistical, and computational tools needed for applied researchers in business fields. Probability theory, modes of convergence, hypothesis testing, Bayesian inference, R programming, linear algebra, numerical optimization, simulation methods, numerical integration. S/U or letter grading.