• Corpus ID: 32911324

daptive moment closure for parameter inference of biochemical eaction networks

@inproceedings{Schillinga2016daptiveMC,
  title={daptive moment closure for parameter inference of biochemical eaction networks},
  author={hristian Schillinga and Sergiy Bogomolovb and Thomas A. Henzingerb and Andreas Podelskia and akob Ruessb},
  year={2016}
}
Continuous-time Markov chain (CTMC) models have become a central tool for understanding the dynamics of complex reaction networks and the importance of stochasticity in the underlying biochemical processes. When such models are employed to answer questions in applications, in order to ensure that the model provides a sufficiently accurate representation of the real system, it is of vital importance that the model parameters are inferred from real measured data. This, however, is often a… 

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