Nonparametric Kernel Density Estimation and Its Computational Aspects

• Main Author: Gramacki, Artur (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Big Data, 37
• Subjects: Computational intelligence.; Artificial intelligence.; Big data.; Computational Intelligence.; Artificial Intelligence.; Big Data.

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 ap...