Nonparametric kernel density estimation and its computational aspects
158,93 $

Nonparametric kernel density estimation and its computational aspects

ARTUR GRAMACKI
éDITION LIVRES NUMÉRIQUES DIVERS



Nonparametric kernel density estimation and its computational aspects

ARTUR GRAMACKI

158,93 $ 158,93 $
Régulier: 158,93 $
Rabais: 0,00 $ (0%)
Livre numérique non disponible
Résumé

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.


Détails
Titre
Nonparametric kernel density estimation and its computational aspects
Prix
158,93 $
Sujet
Format Poche
Non
Langue
Français/French
Date de publication
2017-12-21
ISBN
9783319716886
Code Interne
2412321
Numéro de produit
2412321
Format numérique
pdf
Disponibilité
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Protection
Adobe DRM
Entrepôt Numérique
NUMILOG

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