A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

A class of probability density estimates can be obtained by penalizing the likelihood by a functional which depends on the roughness of the logarithm of the density. The limiting case of the estimates ...

Asymptotic properties of estimates of a probability density function and its derivatives which use the kernel-method are studied. Some results on the rate of convergence of these estimates are ...