>> about a year ago I developed for my own purposes a routine for averaging

>> irregularly-sampled data using gaussian average.

>

> is this similar to Kernel Density estimation?

>

> http://www.scipy.org/doc/api_docs/SciPy.stats.kde.gaussian_kde.htmlNo. It is probably closer to radial basis function interpolation (in fact, it

almost certainly is a form of RBFs):http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html#id1

I checked the official terminology, it is a kernel average smoother

(in the sense of [1]) with special weight function exp(-(x-x0)^2/const),

operating on irregularly-spaced data in 2d.

I am not sure if that is the same as what scipy.stats.kde.gaussian_kde does,

the documentation is terse. Can I be enlightened here?

Cheers, Vaclav