Statistical Learning

Prof. Dr. Christian Bender

Summer Term 2022


The focus is on studying the convergence behavior of local averaging methods (e.g. kernel estimates and nearest neighbor estimates) and of empirical risk minimization. These methods are widely used for solving regression problems and in pattern recognition. 

All further information and course material can be found on the learning management system Moodle. If you are interested to attend the course, please ask for the enrolment key at your earliest convenience via email to:

bender [at]

Moodle enrolment



Thursday, 12 - 14 pm, building E2 4, room 3.16, SR 10


One hour per week (to be announced)