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The Math Behind Kernel Density Estimation
Exploring the foundations, concepts, and math of kernel density estimation Zackary Nay · Follow Published in Towards Data Science · 14 min read · 22 hours ago — The Kernel Density Estimator is a fundamental non-parametric method that is a versatile tool for uncovering the hidden distributions of your data. This article delves into the mathematical foundations of the estimator, provides guidance on choosing the optimal bandwidth, and briefly touches on the choice of kernel
Zackary Nay
September 17, 2024