What is a Stationary Random Process?

Explains the concept of stationarity in random processes, using an example and diagrams.

* Note that I unfortunately forgot to mention that Stationarity also requires that the joint distribution of X(t1) and X(t2) is the same as the joint distribution of X(t1+Δ) and X(t2+Δ), for any t1, any t2, and for all Δ. In summary, this means that the way in which X(t1) and X(t2) are related, is the same as the way in which X(t1+Δ) and X(t2+Δ) are related. In other words, the level of dependency between two values that are spaced Δ apart, doesn't change over time. Or from yet another perspective, how independent they are from each other, doesn't change over time.

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