On the applicability of the use of the Kolmogorov–Wiener filter for prediction of heavy-tail stationary processes
Date Issued
2022
Author(s)
Gorev, V.
Abstract
This work is devoted to the investigation of the applicability of the use of the Kolmogorov–Wiener filter for prediction of heavy-tail stationary processes. The motivation of the investigation is as follows. The problem of telecommunication traffic forecasting is important for telecommunications. There are a plenty of rather sophisticated approaches to the telecommunication traffic prediction in different cases. For example, the ARIMA models and the neural network approaches are used for traffic prediction for non-stationary traffic.
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Збірник_НВ_2022-172-173.pdf
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