More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability

@article{Ilmer2022MoreEI,
  title={More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability},
  author={Ilia Ilmer and Alexey Ovchinnikov and Gleb Pogudin and Pedro Soto},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.01623}
}
Structural global parameter identifiability indicates whether one can determine a parameter’s value from given inputs and outputs in the absence of noise. If a given model has parameters for which there may be infinitely many values, such parameters are called non-identifiable. We present a procedure for accelerating a global identifiability query by eliminating algebraically independent non-identifiable parameters. Our proposed approach significantly improves performance across different computer… 

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