447-6221-00L  Nonparametric Regression

SemesterAutumn Semester 2019
Periodicitytwo-yearly recurring course
CourseDoes not take place this semester.
Language of instructionGerman
CommentSpecial Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to Link. The Registrar's Office will then register you for the course.


447-6221-00 GNichtparametrische Regression Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
Blockkurs. Weitere Informationen unter Link
10.5s hrs

Catalogue data

AbstractThis 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.
ObjectiveKnowledge 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersM. Mächler
Typeungraded semester performance
Language of examinationGerman
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


General : Special students and auditors need a special permission from the lecturers

Offered in

CAS in Applied StatisticsFurther CoursesWInformation
DAS in Applied StatisticsElectivesWInformation
Statistics MasterStatistical and Mathematical CoursesWInformation