Alexandr  Baldin, Vladimir  Burmistrov, Ivan  Eroshok, 
    Various Processes Through the Hidden Stable Dependencies,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 2,
    2019,
    Pages 348-355,
    ISSN 1816-949x,
    jeasci.2019.348.355,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.348.355)
    Abstract: In light of increasing amount of data such challenges as the restoration of lost information fragments
and its forecasting are becoming relevant and attractive. Mathematical description of studied processes is one
of the main factors for solving such problems. Most of current methods are based on the search for a model
that can accurately repeat the geometric form of the process. However, such an approach does not provide an
understanding of how much the hidden dependencies can affect the desired result. This study is devoted to
various methods of searching and describing processes through such dependencies.
    Keywords: Time series;signal processing;predictive analytics;big data;hidden dependencies;mathematical
description