 Long-memory time series

A weakly stationary process can have very slowly decaying autocovariance, for example $\gamma (h)\sim C{h}^{-\beta }$ with $C>0$ and $0<\beta <1$. Its sample mean can require a normalization different from $\sqrt{T}$. Long memory is dependence over long lags, rather than a changing marginal distribution.