Standard parametric models

Parametric models aim to describe probability distributions of a random variable with the aid of a limited number of parameters . Therefore, in the case of continuous variables (i.e. where all possible values are continuous), this means that the probability density of can be expressed as . In the case of discrete variables (i.e. those which take only discrete values), their probabilities can be described in the form .

API:

• See the available parametric distributions.

Examples:

• See Draw 1-d distribution graphs

• See Draw 2-d distribution graphs

• See Create a gaussian distribution

• See Create a 2-d gaussian distribution

• See Create a geometric distribution

References:

• [saporta1990]

• [dixon1983]

• [bhattacharyya1997]