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 ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 29, No. 3/4 (Dec., 1967), pp. 235-248 (14 pages) The paper presents a concise discussion of some probability density functions ...