Описание тега kernel-density
NoneKernel density estimation is a non-parametric way to estimate the probability density function of a random variable.
Kernel density estimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample. Kernel density estimates are closely related to histograms, but can be endowed with properties such as smoothness or continuity by using a suitable kernel