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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Autors principals:	Jiecheng Wang, Yantong Liu, Jincai Chang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-07-01
Col·lecció:	Mathematics
Matèries:	large samples kernel density estimation quasi-interpolation quadtree algorithm adaptive
Accés en línia:	https://www.mdpi.com/2227-7390/10/14/2402
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