Form of kernel density estimation in which the size of the kernels used is varied
In statistics, adaptive or "variable-bandwidth" kernel density estimation is a form of kernel density estimation in which the size of the kernels used in the estimate are varied
depending upon either the location of the samples or the location of the test point.
It is a particularly effective technique when the sample space is multi-dimensional.
[1]
^D. G. Terrell; D. W. Scott (1992). "Variable kernel density estimation". Annals of Statistics. 20 (3): 1236–1265. doi:10.1214/aos/1176348768.
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