Kernel Density Estimation and Convolution Revisited

Nicholas Tenkorang, Kwesi Appau Ohene-Obeng, Xiaogang Su

Kernel Density Estimation (KDE) is a cornerstone of nonparametric statistics, yet it remains sensitive to bandwidth choice, boundary bias, and computational inefficiency. This stud…