Long-range dependency (abbreviated as LRD) is a phenomenon that may arise in the analysis of spatial or time series data. It relates to the rate of decay of statistical dependence, with the implication that this decays more slowly than an exponential decay, typically a power-like decay. Some self-similar processes may exhibit long-range dependence, but not all processes having long-range dependence are self-similar. LRD has been used in various field such as video traffic modelling, econometrics, hydrology and linguistics Different definitions of LRD are used for different applications: a review is given by Samorodnitsky.
Read more about Long-range Dependency: Short-range Dependence Vs. Long-range Dependence, Models
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