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Statistical Analysis Methods examines methods of analysis and constructing time series models. The key methodology under review is ARIMA
Statistical quantifiers of memory for an analysis of human brain and neuro-system diseasesOn the basis of a memory function formalism for correlation functions of time series we investigate
Classification of time series using the Hurst exponent© Published under licence by IOP Publishing Ltd. The Hurst exponent allows to classify time series
How analyzing the interictal EEG can identify the epilepsyTime series analysis
On segmentation approach for time series of arbitrary natureIt is considered the problem of splitting the time series Xt of arbitrary nature
Theoretical-methodological and economical-mathematical approaches to building model of non-observed economy and time series which allow describing scales and dynamics of its development as well as to detach
The study of full flow statistical features of the x-rays cygnus x–1 binary system paper shows that the analysis of full flow X-ray activity signals recorded by the ASM (All-Sky Monitor
Prospects for Using Pseudocolor Image Processing in the Analysis of Multiyear Time Series of Satellite Data in the Task of Assessing the State of Vegetation Cover processing long-term time series of satellite data, mathematical difficulties arise, for example, in data
Neural network technologies and topological analysis of social media data using the methods of mathematical statistics and topological data analysis. © 2021, International
Non-Markov stochastic dynamics of real epidemic process of respiratory infections-range correlation and discreteness in real data series, describing the epidemic dynamics of human ARTI infections
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