A detailed exploration of the autocovariance function, a key concept in analyzing covariance stationary time series processes, including historical context, mathematical formulation, importance, and applications.
Weak stationarity, also known as covariance stationary process, is a fundamental concept in time series analysis where the mean, variance, and autocovariance structure remain constant over time.
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