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Télécharger le livre : Nonparametric Kernel Density Estimation and Its Computational Aspects
Artur Gramacki
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...
Editeur : Springer
Parution : 2017-12-21
Collection : Studies in Big Data
Format(s) : PDF
137,14 €
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