Course

MATH-524: Nonparametric estimation and inference

Summary

Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory.

Lectures

Instructor

Rajita Ramesh Chandak

Expertise Nonparametric estimation, statistical inference, theory of machine learning Teaching & PhD Courses Nonparametric estimation and inference MATH-524 Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory. Statistical inference MATH-562 Inference from the particular to the general based on probability models is central to the statistica

Official source

https://edu.epfl.ch/coursebook/en/nonparametric-estimation-and-inference-MATH-524

Moodle Page

http://go.epfl.ch/MATH-524

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Summary

Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory.

Lectures

Instructor

Rajita Ramesh Chandak

Official source

https://edu.epfl.ch/coursebook/en/nonparametric-estimation-and-inference-MATH-524

Moodle Page

http://go.epfl.ch/MATH-524

About this result

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