Course: STAT 41511
Title: Topics in Robust and Semiparametric Statistics
Instructor(s): Chao Gao
Teaching Assistant(s): TBD
Class Schedule: Section 1: TR 4:20 PM-5:40 PM (Remote)
Description: This course is about statistical estimation and inference with nuisance parameters. Examples include location estimation with unknown density, Cox proportional hazard model, low-dimensional inference in sparse regression, and robust estimation with arbitrary contamination. We will learn tangent spaces, efficient score functions, and information operators. Basic empirical process tools will also be discussed.
Prerequisite(s): STAT 30100
