Modern Methods in Statistics, Econometrics, and Machine Learning

Spring 2023

This course provides a brief introduction to a variety of topics in modern statistics, econometrics, and machine learning. Exact topics are to be determined, but may include: neural networks, random forests, text analysis, network analysis, empirical processes, multiple testing, randomization inference, neyman orthogonality, and shape restrictions. Guest lecturers include: