Definition:
We define a stationary stochastic process
,
as a stochastic process consisting of
identically distributed random variables
. In
particular, all statistical measures are time-invariant.
When a stochastic process is stationary, we may measure statistical features by averaging over time. Examples below include the sample mean and sample variance.