GPoM is a platform dedicated to the Global Modelling technique wjich aim is to obtain deterministic models of Ordinary Differential Equations from observational time series. It can be used to detect couplings between observed variables and for the inference of causal networks. It can also be applied to single time series. The present package focuses on models in Ordinary Differential Equations of polynomial form. Although designed for modelling chaos, it can be also applied to any linear or nonlinear dynamical system for which a deterministic behavior is expected.
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