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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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| Format: | e-Book |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Studies in Big Data,
37 |
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| Online Access: | Full-text access View in OPAC |