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
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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 based on a quadtree algorithm and quasi-interpolation...
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Full title
An Improved Model for Kernel Density Estimation Based on Quadtree and Quasi-Interpolation
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TN_cdi_doaj_primary_oai_doaj_org_article_ca2120ac5f884a01a4671cdbdbc200e8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca2120ac5f884a01a4671cdbdbc200e8
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math10142402
