Category:Kernel Density Estimation
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This category contains results about Kernel Density Estimation.
Definitions specific to this category can be found in Definitions/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.
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