The estimation of a density profile from experimental data points is a
challenging problem, usually tackled by plotting a histogram. Prior assumptions
on the nature of the density, from its smoothness to the specification of its
form, allow the design of accurate estimation procedures, such as Maximum
Likelihood. Our aim is to construct a procedure that makes the smallest
possible number of assumptions, but still providing an accurate estimate of the
density.