Efficient multivariate density estimation based on simple histogram interpolation/smoothing
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A simple method for estimating multivariate probability densities based on sample data. The method works efficiently in multiple dimensions, with many datapoints (tested up to a million), and is also cheap to evaluate on many datapoints. It works simply by computing a multivariate histogram and then smoothing or interpolating the histogram counts.
For more details, see
- the main function, est_pdf_grid.m
- the doc file documentation.pdf
- the test examples implemented in run_pdf_examples.m
-- Eike Petersen, August 2021
The code has been developed while I was at the University of Lübeck, with the Institute for Electrical Engineering in Medicine.
Cite As
Eike Petersen (2026). mvdensity (https://github.com/e-pet/mvdensity/releases/tag/v1.0), GitHub. Retrieved .
General Information
- Version 1.0 (410 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
