On weak convergence of the tail empirical process for copula time series
Автор: Mazur A. E.
Журнал: Труды Московского физико-технического института @trudy-mipt
Рубрика: Информатика и управление
Статья в выпуске: 1 (45) т.12, 2020 года.
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In the literature of statistics of extremes the conditions used to obtain the results of weak convergence of the tail empirical process for dependent sequences are given. In the model of time series with heavy tails constructed by the transformation of the Gaussian time series with Gaussian description of dependency we can show that the conditions, which are technically difficult to check in practice, could be replaced by easily checked conditions on decreasing of the correlation function of time series.
Gaussian sequence, maximum domain of attraction fr´echet, empirical quantile function
Короткий адрес: https://sciup.org/142223092
IDR: 142223092