A characteristic-based stochastic gradient method recovers parameters of latent-variable ODEs from marginal distribution observations, with an unbiased estimator and O(1/N) gradient variance.
The Fokker-Planck equation: methods of solution and applications , pages =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations
A characteristic-based stochastic gradient method recovers parameters of latent-variable ODEs from marginal distribution observations, with an unbiased estimator and O(1/N) gradient variance.