Estimation of cluster functionals for regularly varying time series: runs estimators
arXiv:2109.02164
Abstract
Cluster indices describe extremal behaviour of stationary time series. We consider runs estimators of cluster indices. Using a modern theory of multivariate, regularly varying time series, we obtain central limit theorems under conditions that can be easily verified for a large class of models. In particular, we show that blocks and runs estimators have the same limiting variance.
47 pages, 2 figures, 2 tables. arXiv admin note: text overlap with arXiv:2005.11378