Kernel density estimation and regression

In this project we are exploring non-parametric methods for the estimation of probability density functions and for regression.

The interested Student must be comfortable with Statistics and Mathematics.

The Student must do a search about kernel density estimation and Nadaraya–Watson kernel regression.

You may also have a look in Prof. Tsybakov’s book “Introduction to nonparametric estimation”.

The project can be from very theoretical until very applied.