2. Evaluation of f (x) for a particular value of x requires a long computation involving each of the observations. The Parzen estimator, which has n terms, can be replaced by a series approximation ...

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

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

The notion of probability density for a random function is not as straight-forward as in finite-dimensional cases. While a probability density function generally does not exist for functional data, we ...

A probability distribution, usually displayed graphically, shows the relative likelihood of all possible outcomes occurring within a specific time period.