A stochastic process
with finite second moments is weakly stationary, or covariance stationary, if its
population mean is constant and its covariance
depends only on the lag between observations. Thus
there are functions
and
such that
and
for all
and
.
Weak stationarity does not in general imply strict stationarity. Conversely, strict stationarity implies weak stationarity when the necessary second moments exist.