Nonparametric Kernel Density Estimation and Its Computational Aspects (Studies in Big Data #37)
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Fulfillment optionsNonparametric Kernel Density Estimation and Its Computational Aspects (Studies in Big Data #37)
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.
The book, Nonparametric Kernel Density Estimation and Its Computational Aspects (Studies in Big Data #37) [Bulk, Wholesale, Quantity] ISBN#9783319716879 in Hardcover by Artur Gramacki may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Author
- Artur Gramacki
- Format
- Hardcover
- Published
- Jan 22, 2018
- ISBN-13
- 9783319716879
- Pages
- 176
- Printing
- Printed on demand
Nonparametric Kernel Density Estimation and Its Computational Aspects (Studies in Big Data #37) in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $140.79 | 12% off list |
| 50 – 99 | $139.19 | 13% off list |
| 100+ | $137.59 | 14% off list |
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