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JOURNALS // Fundamentalnaya i Prikladnaya Matematika // Archive

Fundam. Prikl. Mat., 2018 Volume 22, Issue 3, Pages 127–144 (Mi fpm1808)

Fitting time series with heavy tails and strong time dependence

A. E. Mazur

Lomonosov Moscow State University, Moscow, Russia

Abstract: Earlier, a model of a time series with heavy tails constructed from a Gaussian time series was developed. In the present paper, the reverse problem is considered: an estimator of the copula function is built; the copula function is a nonlinear function that maps Gaussian variables to the variables from Fréchet maximum domain of attraction. The statistical properties of this estimator are considered for a stationary time series with a low rate of covariance decay.

UDC: 519.217


 English version:
Journal of Mathematical Sciences (New York), 2021, 254:4, 537–549


© Steklov Math. Inst. of RAS, 2026