Hi,
  I've come across kernel density estimation technques and I was wonderin 
what can they be used for? It appears to me that they just give a
representation of the PDF for the given data. But can these technique be
used for other purposes?

Another related question is that I have seen some examples of 1D and 2D
KDE technqiues - is it possible (or rather available) to have nD KDE
techniques?

I'd appreciate it if anybody could point some introductory texts in this
area ?

Thanks,
Rajarshi
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