Interdisciplinary Studies
Predictability Limit of Partially Observed Systems
A. Abeliuk, Z. Huang, et al.
This intriguing research by Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, and Kristina Lerman reveals how predictability in dynamic systems significantly diminishes with partial observation. Despite the forecasting models employed, the study shows predictability loss increases with temporal sampling and cannot be compensated by external signals. Validated across various real-world systems, these findings unveil the inherent limits of predictability in partially observed data.
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