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Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a non-linear forecasting method characterization
- Publication Year :
- 2024
-
Abstract
- We have analyzed phenology data and jumps in protein configurations with the non-linear forecasting method proposed by May and Sugihara \cite{MS90}. Full plots of prediction quality as a function of dimensionality and forecasting time give fast and valuable information about Complex Systems dynamics.<br />Comment: 5 pages, 8 figures
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2406.13811
- Document Type :
- Working Paper