Kernel Smoothing Regression

Version 1.2.0.0 (2,16 KB) von Yi Cao
A non-parametrical regression (smoothing) tool using Gaussian kernel.
18,9K Downloads
Aktualisiert 24. Dez 2008

Lizenz anzeigen

Non-parametric regression is widely used in many scientific and engineering areas, such as image processing and pattern recognition.

Non-parametric regression is about to estimate the conditional expectation of a random variable:

E(Y|X) = f(X)

where f is a non-parametric function.

Based on the kernel density estimation technique, this code implements the so called Nadaraya-Watson kernel regression algorithm particularly using the Gaussian kernel. The default bandwidth of the regression is derived from the optimal bendwidth of the Gaussian kernel density estimation suggested in the literature. The code can also take care of missing data.

Zitieren als

Yi Cao (2024). Kernel Smoothing Regression (https://www.mathworks.com/matlabcentral/fileexchange/19195-kernel-smoothing-regression), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2007b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.2.0.0

add an error case

1.0.0.0

update with error checking.