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.

Current Time Schedule

Winter, 2023

SLN/Section Time Location Instructor
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

COURSE JOINT WITH BIOSTAT 584.