An Improved Model for Kernel Density Estimation Based on Quadtree and Quasi-Interpolation

An Improved Model for Kernel Density Estimation Based on Quadtree and Quasi-Interpolation

There are three main problems for classical kernel density estimation in its application: boundary problem, over-smoothing problem of high (low)-density region and low-efficiency problem of large samples. A new improved model of multivariate adaptive binned quasi-interpolation density estimation bas...

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Bibliographic Details
Main Authors: Jiecheng Wang, Yantong Liu, Jincai Chang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
large samples
kernel density estimation
quasi-interpolation
quadtree algorithm
adaptive
Online Access:https://www.mdpi.com/2227-7390/10/14/2402

Internet

https://www.mdpi.com/2227-7390/10/14/2402

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