Course

MATH-522: Empirical processes

Summary

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.

Lectures

Instructor

Myrto Limnios

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. Regression methods MATH-408 General graduate course on regression methods

Official source

https://edu.epfl.ch/coursebook/en/empirical-processes-MATH-522

Moodle Page

http://go.epfl.ch/MATH-522

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Summary

Lectures

Instructor

Myrto Limnios

Official source

https://edu.epfl.ch/coursebook/en/empirical-processes-MATH-522

Moodle Page

http://go.epfl.ch/MATH-522

About this result

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