A Bayesian exchange-Monte-Carlo framework using the Ott-Antonsen analytical solution recovers Kuramoto model parameters from order-parameter time series, with accuracy limited by noise, system size, and a K-gamma identifiability degeneracy.
Thus, we use the time series data where the order parameter monotonically decreases
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Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities
A Bayesian exchange-Monte-Carlo framework using the Ott-Antonsen analytical solution recovers Kuramoto model parameters from order-parameter time series, with accuracy limited by noise, system size, and a K-gamma identifiability degeneracy.