Category:Definitions/Kernel Density Estimation

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This category contains definitions related to Kernel Density Estimation.
Related results can be found in Category:Kernel Density Estimation.


Kernel density estimation is a nonparametric method for estimating a probability density function of a continuous random variable $X$ based on data forming a (usually large) sample.