Gross–Harrington–Meshkat–Shiu leak-removal conjecture for linear compartmental models

Let M~\widetilde{\mathcal{M}} be a strongly connected linear compartmental model with at least one input and exactly one leak. A model is generically locally identifiable if its parameters are recoverable for generic parameter values up to finitely many possibilities. Gross–Harrington–Meshkat–Shiu's leak-removal conjecture. If M~\widetilde{\mathcal{M}} is generically locally identifiable, then so is the model M\mathcal{M} obtained by removing the leak. This conjecture is known in several special cases, including models with input, output, and leak in one compartment and models obtained from identifiable cycle models by retaining one leak; it remains open in general.

Sources & referencesView supporting material

Primary source

Patrick Chan, Katherine Johnston, Anne Shiu, Aleksandra Sobieska and Clare Spinner, “Identifiability of Linear Compartmental Models: The Impact of Removing Leaks and Edges”, arXiv:2102.04417 (2021).

Additional references

2 papers in this index state this conjecture (2019–2021). The statement above is taken from the most recent of them; the others are arXiv:1910.13549.

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