Description: (Formerly numbered Management 204A.) 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.

Units: 4.0