Fitting time series with heavy tails and strong time dependence
A. E. Mazur
Lomonosov Moscow State University
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.
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A. E. Mazur, “Fitting time series with heavy tails and strong time dependence”, Fundam. Prikl. Mat., 22:3 (2018), 127–144
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\paper Fitting time series with heavy tails and strong time dependence
\jour Fundam. Prikl. Mat.
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