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Title: GitHub - MathEXLab/TLR: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the Time-Lagged Recurrences (TLR) as a novel predictability index. · GitHub

Open Graph Title: GitHub - MathEXLab/TLR: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the Time-Lagged Recurrences (TLR) as a novel predictability index.

X Title: GitHub - MathEXLab/TLR: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the Time-Lagged Recurrences (TLR) as a novel predictability index.

Description: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the Time-Lagged Recurrences (TLR) as a novel predictability index. - MathEXLab/TLR

Open Graph Description: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the Time-Lagg...

X Description: Python code and Jupyter notebooks support the manuscript "Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems," which introduces the T...

Opengraph URL: https://github.com/MathEXLab/TLR

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