2000/10/10 by V. I. Yukalov · 1 citation
Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Chaos control and synchronization #Complex Systems and Time Series Analysis #Nonlinear Dynamics and Pattern Formation #cond-mat
paper · pdf · doi:10.1142/s0217984900000999
published as Mod. Phys. Lett. B 14 (2000) 791-800 · LaTex, 11 pages
openalex publication_date 2000/10/10 · arxiv created 2001/03/19 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The method of extrapolating asymptotic series, based on the self-similar approximation theory, is developed. Several important questions are answered, which makes the foundation of the method unambiguous and its application straightforward. It is shown how the extrapolation of asymptotic series can be reformulated as forecasting for time series. The probability measure is introduced characterizing the ensemble of forecasted scenarios. The method of choosing the complete family of databases is put forward.