From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
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401-6221-00L  Nonparametric Regression

SemesterAutumn Semester 2016
LecturersM. Mächler
Periodicitytwo-yearly recurring course
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 The Registrar's Office will then register you for the course.

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.