Course: STAT 32400=BUSN 41901
Title: Probability and Statistics
Instructor(s): Tetsuya Kaji
Schedule: F 1:30 PM-4:30 PM in Charles M. Harper Center C02
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. Please visit Booth Course Search for the most updated information: https://intranet.chicagobooth.edu/pub/coursesearch/coursesearch