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Kernel density estimation
In statistics, the kernel density estimation (or Parzen window method, named after Emanuel Parzen) is a way of estimating the probability density function of a random variable. As an illustration, given some data about a sample of a population, the kernel density estimation makes it possible to extrapolate the data to the entire population.
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