# Density estimation

## Estimate of an unobservable underlying probability density function / From Wikipedia, the free encyclopedia

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For the signal processing concept, see spectral density estimation.

In statistics, **probability density estimation** or simply **density estimation** is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.^{[1]}

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A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.