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We also examine the lower limit of predictability.
Having estimated the entropy rate (H_{mathrm{est}}) we are in a position to determine the upper limit of predictability (Pi^{mathrm{max}}).
The work described above focuses on estimating an upper limit of predictability for an individual based on an estimate of the entropy their trajectory.
Using this modal overlap factor, approximate formulas are derived to identify the limit of predictability for the combined case of damping, ensemble variation, and frequency averaging.
A new analytical formula for the model predictability horizon is introduced and applied to estimate the limit of predictability for the ocean model.
This is the limit of predictability [ 12].
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The aim was to examine the limits of predictability in physical and biological systems.
From Song et al., Limits of predictability in human mobility, Science 327 5968):1018 20100) [102].
By emphasizing the limits of predictability, we do not mean to suggest that molecular studies of influenza transmissibility and virulence, or surveillance of animal virus populations, lack value.
In a seminal paper Song et al. [13] investigate the limits of predictability of human mobility, using Call Detail Records (CDR) as proxy for human movement.
Another relevant area is prediction and forecasting of human mobility [39 42], which allow to understand distributions [42] and limits of predictability in human mobility [41].
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