STAT 582
Advanced Theory of Statistical Inference II
4.0 credits
Course Description
Semiparametric and nonparametric estimation of irregular parameters: minimax rates of convergence, kernel methods, bias-variance tradeoff, concentration inequalities, empirical risk minimization, Rademacher complexity, Vapnik-Chervonenkis dimension, covering and bracketing numbers, empirical process theory (Glivenko-Cantelli results). Prerequisite: STAT 581/BIOST 583. ; recommended: mathematical analysis from a course at the level of either MATH 426 or STAT 559. Offered: jointly with BIOST 584; W.
Syllabus Downloads
Current Time Schedule
Winter, 2023
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
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20805 A Open |
M W F 10:30AM - 11:20AM M W F 10:30AM - 11:20AM |
MGH 271 MGH 271 |
Alex Luedtke Lars van der Laan |
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COURSE JOINT WITH BIOSTAT 584.
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