However, for a Gaussian stochastic process the two concepts are equivalent.

Therefore, stationary Gaussian process is completely determined by its one-parameter mean function and covariance function.

Example

There is an explicit representation for stationary Gaussian processes. A simple example of this representation is

where and are independent random variables with the standard normal distribution.

Covariance functions

A key fact of Gaussian processes