Recent Advances in Time Series Analysis
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: 28 February 2025 | Viewed by 91
Special Issue Editors
Interests: time series analysis of complex systems; information and entropy theory; complexity measures in natural time domain; seismic dynamics study of subduction zones in Mexico; experimental development of synthetic seismicity
Special Issue Information
Dear Colleagues,
This Special Issue focuses on nonlinear time series analysis for complex systems.
Different methodologies have been developed for this analysis that have significantly contributed to the study of dynamic systems, both for theoretical models and for natural systems, for example, seismic and climatic processes, financial series, economic models, physiological phenomena, etc.
Various disciplines converge in these studies, including probability theory and statistics, information theory, stochastic processes, point processes, fractal and multifractal properties, graph theory, domain in natural time, recurrences, generalized entropies as well as non-extensive systems, among others. Much of the research in this area focuses on the characterization of complex systems, providing indicators of determinism or stochasticity, to distinguish regularity/chaos/noise. Furthermore, short- and long-term forecasting, as well as the determination of short- and long-range correlations, are very relevant aspects for such characterization.
Prof. Dr. Alejandro Ramírez-Rojas
Prof. Dr. José Rubén Luevano Enríquez
Guest Editors
Manuscript Submission Information
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Keywords
- complex time series
- fractality/multifractality
- visibility graph
- natural time domain
- non-extensivity
- forecasting
- newcasting
- complexity measures
- dynamical systems
- chaos
- point processes
- Allan factor
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