Ergebnisse für: Kernel density estimators

Hier findest Du Bücher, die sich mit Kernel density estimators beschäftigen.

Buch Cover 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 presented.The ...
Buch Cover 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 presented.The ...
Buch Cover 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 presented.The ...
Buch Cover Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions
About 3700 people die in traffic accidents every day. Human error is the number one causeof accidents. Autonomous driving can greatly reduce the occurrence of traffic accidents. Torelease self-driving cars for road traffic, the system including software must be validated and testedefficiently. Howev...
Buch Cover Determinants, distribution, and development of marginal costs in dairy production: An empirical analysis for selected regions of the European Union
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