
KDE Optimization Primer
This article introduces the univariate kernel density estimation (KDE) method for estimating the probability density function of a random variable.
Read through the articles below to stay up to date with NumXL Pro and topics related to time series, statistics, modeling, forecasting, and many more.

This article introduces the univariate kernel density estimation (KDE) method for estimating the probability density function of a random variable.

Update: New perpetual licenses will no longer include auto-renewal of premier support after a 12-month trial period.

NumXL Version 1.68 (CAMEL) is here! Start your free trial to get the new KDE wizard, plus 11 new portfolio risk statistics.

We are thrilled to announce the launch of the beta testing phase for NumXL 1.68! The new version contains the KDE and Portfolio Analysis.

The NumXL add-in is now fully compatible with Office 2021 and Windows 11. You can continue using the same version of NumXL when you switch.

An important update for students: We will no longer automatically renew NumXL licenses purchased through our student-only discount program.