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Kniha Nonparametric Kernel Density Estimation and Its Computational Aspects Artur Gramacki

Nonparametric Kernel Density Estimation and Its Computational Aspects

Autor: Artur Gramacki
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer International Publishing AG
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
3 198 Kč
This book describes computational problems related to kernel density estimation (KDE) - one of the m...

Informace o knize

Autor
Artur Gramacki
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2018
Stránek
176
EAN
9783319716879
ISBN
3319716875
Enbook ID
18368682
Vydavatel
Springer International Publishing AG
Hmotnost
483
Rozměry
155 x 235 x 19

Kompletní popis

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 appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this. The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting. The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.

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