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)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Big Data, 37
Subjects:
Computational intelligence.
Artificial intelligence.
Big data.
Computational Intelligence.
Artificial Intelligence.
Big Data.
Online Access:Full-text access

Internet

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