Bivariant Kernel Density Estimation (V2.1)
Version 1.2.0.0 (213 KB) by
Yi Cao
A tool for bivariant pdf, cdf and icdf estimation using Gaussian kernel function.
This function implements bivariant Gaussian kernel density estimation. It can be used to estimate bivariant probability density function (pdf), cumulative distribution function (cdf) and inversed cdf (icdf) from a set of random data. The code is programmed in a way to be suitable for beginners to learn kernel density estimation.
Cite As
Yi Cao (2026). Bivariant Kernel Density Estimation (V2.1) (https://uk.mathworks.com/matlabcentral/fileexchange/19280-bivariant-kernel-density-estimation-v2-1), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2007b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
Find more on Conditional Mean Models in Help Center and MATLAB Answers
Tags
Acknowledgements
Inspired by: Probability Density Function (PDF) Estimator (V3.2)
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