<p><p>This book describes computational problems related to kernel density estimation (KDE) β 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.</p><p>The theo
Nonparametric Kernel Density Estimation and Its Computational Aspects
β Scribed by Artur Gramacki
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 197
- Series
- Studies in Big Data 37
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
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This book describes computational problems related to kernel density estimation (KDE) β 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 ap
<p><strong>`.</strong>.. this book is a useful and significant addition on the lively topic of nonparametric density and regression curve estimation.<strong>'</strong><br/><strong>Royal Statistical Society, 154, 1991</strong></p>
Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of statistics taking courses at the postgraduat