Stationary ergodic process

In probability theory, a stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. In essence this implies that the random process will not change its statistical properties with time and that its statistical properties can be deduced from a single, sufficiently long sample (realization) of the process.

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