Nonparametric Kernel Density Estimation And Its Computational Aspects

Nonparametric Kernel Density Estimation and Its Computational Aspects  eBooks & eLearning

Posted by AvaxGenius at Dec. 23, 2017
Nonparametric Kernel Density Estimation and Its Computational Aspects

Nonparametric Kernel Density Estimation and Its Computational Aspects By Artur Gramacki
English | PDF,EPUB | 2017 (2018 Edition) | 197 Pages | ISBN : 3319716875 | 11.93 MB

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.