February 2019
Intermediate to advanced
386 pages
9h 54m
English
This is one of the most employed kernels, whose structure is as follows:

The graphical representation is shown in the following screenshot:

Given its regularity, a Gaussian kernel is a common choice for many density estimation tasks. However, as the method doesn't allow the mixing of different kernels, the choice must consider all the properties. From statistics, we know that a Gaussian distribution can be considered as an average reference for the kurtosis (which is proportional to the peak and to the heaviness ...
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