Multivariate Probability Density Estimation

Nonparametric plotting and analysis tool to compute a probability density estimate for multivariate data

https://github.com/jennyfarmer/PDFAnalyze

jenny farmer

Version 3.0 (73,8 KB)

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17. Okt 2022

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EstimatePDF computes a nonparametric probability density estimate for a one-dimensional data sample. The method is automated and adaptive, determining boundaries, resolution scales, and outliers appropriately without user intervention, therefore suitable for high-throughput analysis.

PDFAnalyze optionally produces high-quality plots for advanced analysis and publication with univariate estimates.

EstimatePDFmv calculates nonparametric probability density estimates for multivariate data for up to 5 variables.

Zitieren als

jenny farmer (2026). Multivariate Probability Density Estimation (https://github.com/jennyfarmer/PDFAnalyze), GitHub. Abgerufen 27. Mai 2026.

Jenny, F. and J. Donald, High throughput nonparametric probability density estimation. PLoS ONE, 2018. 13(5): p. e0196937.

Farmer, Jenny, and Donald J. Jacobs. “MATLAB Tool for Probability Density Assessment and Nonparametric Estimation.” SoftwareX, vol. 18, Elsevier BV, June 2022, p. 101017, doi:10.1016/j.softx.2022.101017.

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Mehr zu Probability Density Functions finden Sie in Help Center und MATLAB Answers

Allgemeine Informationen

Version 3.0 (73,8 KB)
Lizenz auf GitHub anzeigen

Kompatibilität der MATLAB-Version

Kompatibel mit R2018a und späteren Versionen

Plattform-Kompatibilität

Windows
macOS
Linux

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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version	Veröffentlicht	Versionshinweise
3.0	17. Okt 2022	Extended to provide multivariate support for up to 5 variables
2.1	17. Sep 2021	Enhanced help files
1.0.1	21. Mai 2020	More descriptive title and summary
1.0.0	2. Apr 2020

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.

MLA	Farmer, Jenny, and Donald J. Jacobs. “MATLAB Tool for Probability Density Assessment and Nonparametric Estimation.” SoftwareX, vol. 18, Elsevier BV, June 2022, p. 101017, doi:10.1016/j.softx.2022.101017.
APA	Farmer, J., & Jacobs, D. J. (2022). MATLAB tool for probability density assessment and nonparametric estimation. SoftwareX, 18, 101017. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.softx.2022.101017
BibTeX	@article{Farmer_2022, doi = {10.1016/j.softx.2022.101017}, url = {https://doi.org/10.1016%2Fj.softx.2022.101017}, year = 2022, month = {jun}, publisher = {Elsevier {BV}}, volume = {18}, pages = {101017}, author = {Jenny Farmer and Donald J. Jacobs}, title = {{MATLAB} tool for probability density assessment and nonparametric estimation}, journal = {{SoftwareX}} }