An orthogonal forward regression technique for sparse kernel density estimation

An orthogonal forward regression technique for sparse kernel density estimation

Using the classical Parzen window (PW) estimate as the desired response, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density (SKD) estimates. The proposed algorithm incrementally minimises a...

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Bibliographic Details
Main Authors:	Chen, Sheng (Author), Hong, X. (Author), Harris, Chris J. (Author)
Format:	Article
Language:	English
Published:	2008-04-01.
Subjects:	Article
Online Access:	Get fulltext Get fulltext

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