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

Let X 1, X 2, ⋯ be independent identically distributed random variables having a common probability density function f. After a so-called kernel class of estimates f n of f based on X 1, ⋯, X n was ...