Bivariant Kernel Density Estimation (V2.1)
A tool for bivariant pdf, cdf and icdf estimation using Gaussian kernel function.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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://au.mathworks.com/matlabcentral/fileexchange/19280-bivariant-kernel-density-estimation-v2-1), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Probability Density Function (PDF) Estimator (V3.2)
General Information
- Version 1.2.0.0 (213 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
