This is a 10-week lecture-based course focused on introducing some core topics in mathematical statistics, including the elementary decision theory, basic large sample theory, maximum likelihood estimators and M-estimators, hypothesis testing, and efficiency lower bounds.
STAT581: Advanced Theory of Statistical Inference (2021)
Check the Syllabus for detailed course plan.
Instructor: Fang Han (firstname.lastname@example.org)
TA: Gang Cheng (email@example.com)
Lectures: MF 10:30-11:20 on Zoom, W 10:30-11:20 in CMU 230
Office hour: F 9:30-10:30AM (Fang); Th 1:30-2:30PM (Gang), both on Zoom
Midterm: 11/12, in-class
Final: 12/10, in-class
Lecture note 1
Lecture note 2
Lecture note 3
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