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Results tagged with kernel-smoothing
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user 44570
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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Conditional density and variance of Nadaraya-Watson model
Given $N$ data points $x$ and $N$ targets $t$, considering a new point $x$ and the corresponding new target $t$, what would be:
The conditional density
The conditional mean
variance
of the Nada …
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