Książka Nonparametric Kernel Density Estimation and Its Computational Aspects Artur Gramacki

Nonparametric Kernel Density Estimation and Its Computational Aspects

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
592.41
This book describes computational problems related to kernel density estimation (KDE) - one of the m...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2018
strony
176
EAN
9783319716879
ISBN
3319716875
Enbook ID
18368682
Waga
483
Wymiary
155 x 235 x 19

Pełny opis

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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