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Nonparametric Regression
Nichtparametrische Regression
Last Updated: 2026-06-01 11:30:45
Abstract
This course focusses on nonparametric estimation of probability densities and regression functions. These recent methods allow modelling without restrictive assumptions such as 'linear function'. These smoothing methods require a weight function and a smoothing parameter. Focus is on one dimension, higher dimensions and samples of curves are treated briefly. Exercises at the computer.
Objective
Knowledge on estimation of probability densities and regression functions via various statistical methods. Understanding of the choice of weight function and of the smoothing parameter, also done automatically. Practical application on data sets at the computer.
General Information
- Language
- German
- Levels
- WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Nichtparametrische Regression
Does not take place this semester.
Blockkurs im HS 2024
[DATUM]
|
No time listed | 10.5 h semesterly |