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Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika, 2015, Number 5, Pages 3–7
(Mi vmumm259)
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This article is cited in 3 scientific papers (total in 3 papers)
Mathematics
Gaussian copula time series with heavy tails and strong time dependence
A. E. Mazur, V. I. Piterbarg Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Abstract:
A class of functions $f$ is described for which the random variable $X=f(\xi)$, where $\xi$ is a standard normal random variable, belongs to Fréchet maximum domain of attraction. For any $f$ from this class, a limit theorem for the maximum of the sequence $X(k)=f(\xi_{k})$, $k=1,2,\dots$, is proved, where $\xi_{k}$ is a Gaussian stationary sequence with a slowly decreasing correlation.
Key words:
copula, Gaussian sequence, Fréchet maximum domain of attraction, limit theorems for maximum.
Received: 09.09.2013
Citation:
A. E. Mazur, V. I. Piterbarg, “Gaussian copula time series with heavy tails and strong time dependence”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2015, no. 5, 3–7; Moscow University Mathematics Bulletin, 70:5 (2015), 197–201
Linking options:
https://www.mathnet.ru/eng/vmumm259 https://www.mathnet.ru/eng/vmumm/y2015/i5/p3
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Abstract page: | 175 | Full-text PDF : | 48 | References: | 29 |
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