Nonparametric Kernel Density Estimation and Its Computational Aspects

This book describes computational problems related to kernel density estimation (KDE) - one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE ap...

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Bibliographic Details

Main Author:	Gramacki, Artur (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing, 2018.
Edition:	1st ed. 2018.
Series:	Studies in Big Data, 37
Subjects:	Computational intelligence. Artificial intelligence. Big data.
ISBN:	9783319716886
ISSN:	2197-6503 ;
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