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Tue Sep 4 23:05:00 CEST 2012

How to make a good density plot?

I know of only two ways:

- Histogram: tuning is the interval resolution.  Trade off: more
  space resolution gives less density resolution.

- Kernel method: Each discrete event is spread out in space.  Basic
  "tuning" parameter is the size of the kernel.  Trade off: more space
  resolution 9smaller kernel size) gives a more bumpy density curve.

I can think of some mods:

- Adaptive kernel?  (E.g. for financial data?)  Decrease kernel size
  in high-density regions.

It would be good to figure out a good way to do this in Haskell +
Gnuplot.  Probably needs the preprocessing (events -> curve) in
outside of Gnuplot.




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