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Kernel Density Estimation Tutorial by esap mh is a document available to read on EtoBox.
What is Kernel Density Estimation Tutorial about?
This document is a tutorial on kernel density estimation (KDE) by Yen-Chi Chen, providing an introduction to its basic properties, including convergence rates, bandwidth selection, and density derivative estimation. It discusses recent advances in constructing confidence bands and inferring geometric and topological features of density functions using KDE. The tutorial also includes practical applications of KDE in estimating cumulative distribution functions and receiver operating characteristic curves, al
- Author
- esap mh
- Language
- EN