Back

Share this post

Copy Link

Home / Glossary / Kernel Density Estimation (KDE)

Kernel Density Estimation (KDE)

A non-parametric method to estimate the probability density function of a random variable.

glosarry author

The Author

Maurice Adam Weber

CEO & Co-Founder

Glossary

Share this post

Copy Link

Discover how we can meet your unique needs – Request a free consultation.

Accelerate my growth
footer globe
crebos logo
Privacy Overview

Crebos is committed to protecting the privacy and confidentiality of your personal data. We process and safeguard personal data in accordance with the General Data Protection Regulation (GDPR). This Privacy Policy outlines how we collect, process, and protect your personal data when you visit and interact with the Crebos website.
By accessing and using our website, you consent to the collection and use of your information as described in this Privacy Policy.