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Kernel smoothing techniques, such as kernel density estimation (KDE) and Nadaraya-Watson kernel regression, estimate functions by local interpolation from data points. Not to be confused with [kernel-trick], for the kernels used e.g. in SVMs.
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votes
Density estimation with a truncated distribution?
The density function also has a from parameter to indicate the left-most side "of the grid at which the density is to be estimated". Continuing from the above example:
lines(density(x, from = 0), col …