epanechnikov kernel
The Epanechnikov kernel is optimal in a mean square error sense, though the loss of efficiency is small for the kernels listed previously. Due to its convenient ... ,The reason why the Epanechnikov kernel isn't universally used for its theoretical optimality may very well be that the Epanechnikov kernel isn't actually ...
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 epanechnikov kernel 相關參考資料
Kernel (statistics) - Wikipedia
Several types of kernel functions are commonly used: uniform, triangle, Epanechnikov, quartic (biweight), tricube, triweight, Gaussian, quadratic and cosine. https://en.wikipedia.org Kernel density estimation - Wikipedia
The Epanechnikov kernel is optimal in a mean square error sense, though the loss of efficiency is small for the kernels listed previously. Due to its convenient ... https://en.wikipedia.org If the Epanechnikov kernel is theoretically optimal when doing ...
The reason why the Epanechnikov kernel isn't universally used for its theoretical optimality may very well be that the Epanechnikov kernel isn't actually ... https://stats.stackexchange.co Different definitions of Epanechnikov-Kernel - Cross Validated
Let's distinguish the two kernels in our notation so we're not using the same symbol for each. So we have. K(e)(y)=34√5−3y220√5 for |y|≤√5. https://stats.stackexchange.co Density Estimation
f"x# is a special case of what is called a kernel estimator. The general ... The most commonly used kernels are the Epanechnikov and the Gaussian. The kernels ... https://www.ssc.wisc.edu Asymptotic Theory of Statistics and Probability
There are plenty of other kernels in use. Specifically, the Epanechnikov kernel, with a certain optimality property, is introduced below. Example 32.4 If one does ... https://books.google.com.tw On discrete Epanechnikov kernel functions - ScienceDirect
Specifically, discrete versions (both unordered and ordered) of the popular Epanechnikov kernel do not have rapidly decaying weights. The analytic properties ... https://www.sciencedirect.com Nonparametric and Semiparametric Models - 第 60 頁 - Google 圖書結果
As an example, suppose we want to compare an estimate based on the Epanechnikov kernel and bandwidth he with an estimate based on the Gaussian kernel. https://books.google.com.tw Smoothing Methods in Statistics - 第 124 頁 - Google 圖書結果
An alternative to the use of product kernels to construct a multivariate kernel function is to use a ... For example, the product Epanechnikov kernel is ^(x) = ( n □=! https://books.google.com.tw |