The extremal index \(\theta \in [0,1]\) characterizes the degree of local dependence in the extremes of a stationary time series.
This class estimates the extremal index by the reciprocal of the average cluster size.
This class estimates the extremal index from observations by the algorithm proposed by Ferro and Seegers.
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