data is a large data sample, and that
Histogram[data] produces a very smooth-looking distribution.
data eats up a lot of RAM, I'd like to summarize it with some analytic model. (For many operations I want to do, particularly while prototyping visualizations, etc., it would be fine to work with an analytic approximation to the actual data.)
Mathematica has functions like
SmoothKernelDistribution, which provide functional replacements for the original data, but AFAICT, the resulting objects still encapsulate all the original datapoints, and therefore their use would entail no reduction in the amount of memory required.
Does Mathematica have a ready-made way to extract an analytic model from the