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401-6221-00L 1 Credits MSC D-MATH

Nonparametric Regression

Nichtparametrische Regression

Lecturers & Examiners: Prof. Dr. Theo Gasser
VVZ CR n/a

Last Updated: 2026-02-05 15:23:46

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 choiche of weight function and of the smoothing parameter, also done automatically. Practical application on data sets at the computer.

General Information

Language
German
Levels
MSC
Frequency
Every two years

Examination

Type
ungraded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Nichtparametrische Regression
Blockkurs am 22.9., 29.9., 6.10.
No time listed 10 h semesterly

Offered In