GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
Frontiers

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
IEEE

A Robust Kalman Filter Based on Kernel Density Estimation for System State Estimation Against Measurement Outliers

Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...
IEEE

Iterative bandwidth optimization for Kernel density estimation of renewable generation uncertainty

Abstract: With the rapid increase in the penetration of renewable energy, the uncertainty of renewable energy has brought huge challenges to the safe and stable operation of the power system. Kernel ...