A new methodology shows stochastic particle models are structurally identifiable from trajectory data but only locally identifiable from density data, with initial conditions critical to the analysis.
[1991] Proceedings of the 30th IEEE Conference on Decision and Control , pages=
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Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
A new methodology shows stochastic particle models are structurally identifiable from trajectory data but only locally identifiable from density data, with initial conditions critical to the analysis.