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Abstract: We address the problem of estimating unknown model parameters and statevariables in stochastic reaction processes when only sparse and noisymeasurements are available. Using an asymptotic system size expansion for thebackward equation we derive an efficient approximation for this problem. Wedemonstrate the validity of our approach on model systems and generalize ourmethod to the case when some state variables are not observed.



Autor: Andreas Ruttor, Manfred Opper

Fuente: https://arxiv.org/



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