Myrto Limnios

EPFL SB MATH
CM 1 618 (Centre Midi)
Station 10
1015 Lausanne

Teaching & PhD

Courses

Empirical processes

MATH-522

We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning.

Probability and statistics

MATH-234(d)

This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression.

Regression methods

MATH-408

General graduate course on regression methods

Statistical machine learning

MATH-412

A course on statistical machine learning for supervised and unsupervised learning