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bn:01363688n
Noun Concept
Categories: Nonparametric statistics, Machine learning, Estimation of densities
EN
kernel density estimation  Colonel density estimate  kernel density  kernel density estimate  kernel density estimates
EN
In statistics, kernel density estimation is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights. Wikipedia
Definitions
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Sources
EN
In statistics, kernel density estimation is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights. Wikipedia
The width of the convolution kernel used in statistics Wikipedia Disambiguation
IS A
estimator
PART OF
nonparametric statistics
HAS KIND
multivariate kernel density estimation
Variable kernel density estimation
Wikipedia
EN
kernel density estimation
Wikidata
EN
kernel density estimation
Wikipedia Redirections
EN
Colonel density estimate, kernel density, kernel density estimate, kernel density estimates, kernel density estimator, Parzen estimator, Parzen window, Parzen windowing, Parzen Windows, Silverman's rule of thumb, Tree-structured Parzen estimators, Tree of Parzen estimators
Wikidata Alias
EN
Parzen window method, Parzen windows, Parzen–Rosenblatt window method

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