Ergodic theory in statistics is the study of statistical processes that are ergodic, which means that the sequence of observations does not depend on the order of samples.
This is an important property for many applications in statistics, such as random sampling and estimation. Ergodicity can also be used to test hypotheses about stochastic processes.
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