The **generalised hyperbolic distribution** (**GH**) is a continuous probability distribution defined as the normal variance-mean mixture where the mixing distribution is the generalized inverse Gaussian distribution. Its probability density function (see the box) is given in terms of modified Bessel function of the second kind, denoted by .

As the name suggests it is of a very general form, being the superclass of, among others, the Student's *t*-distribution, the Laplace distribution, the hyperbolic distribution, the normal-inverse Gaussian distribution and the variance-gamma distribution.

It is mainly applied to areas that require sufficient probability of far-field behaviour, which it can model due to its semi-heavy tailsâ€”a property the normal distribution does not possess. The **generalised hyperbolic distribution** is often used in economics, with particular application in the fields of modelling financial markets and risk management, due to its semi-heavy tails. This class is closed under linear operations. It was introduced by Ole Barndorff-Nielsen.

Read more about Generalised Hyperbolic Distribution: Related Distributions

### Other articles related to "generalised hyperbolic distribution, distribution, hyperbolic distribution":

**Generalised Hyperbolic Distribution**- Related Distributions

... has a Student's t-

**distribution**with degrees of freedom ... has a

**hyperbolic distribution**... has a normal-inverse Gaussian

**distribution**(NIG) ...

### Famous quotes containing the word distribution:

“There is the illusion of time, which is very deep; who has disposed of it? Mor come to the conviction that what seems the succession of thought is only the *distribution* of wholes into causal series.”

—Ralph Waldo Emerson (1803–1882)