Course: STAT 32400=BUSN 41901
Title: Probability and Statistics
Instructor: Tetsuya Kaji
Class Schedule: Sec 50: F 1:30 PM–4:20 PM in Charles M. Harper Center C04
Description: 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.