This is a PhD course that introduces fundamental statistical concepts for academic research in business and economics. It covers basic topics in probability and statistics, including limit theorems, principles of estimation and inference, linear and logistic regression, and causal inference. Much emphasis is put on large-sample (asymptotic) theory.
Real analysis and linear algebra. BUSN 41901=STAT 32400
There is no required textbook.
Grades are based on a midterm exam and a final exam.
Description and/or course criteria last updated: August 07 2023
