Alessandro (Ale) Rinaldo - Fall, 2025
SDS 387 is an intermediate graduate course in theoretical statistics for PhD students, covering two separate but interrelated topics: (i) stochastic convergence, (ii) selected topics in learning theory and (iii) linear regression modeling. The material and style of the course will skew towards the mathematical and theoretical aspects of common models and methods, in order to provide a foundation for those who wish to pursue research in statistical methods and theory. This is not an applied regression analysis course.
Syllabus: Syllabus
Lectures: Tuesday and Thursday, 9:00am - 10:30am, FAC 101B
TA: Hien Dang, hiendang@utexas.edu - Office hours: TBA
Ale's Office hours: by appointment
Homework submission and solutions: use Canvas
| Due date | |
| Homework 1 | |
Class canceled (Ale was sick)