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Parameter Identifiability in ODE Models

Open finmod opened this issue 3 years ago • 2 comments

@iliailmer and @ChrisRackauckas Great addition to MTK tutorials on DAE-ODE systems.

Just like to mention typos at "We will start by illustrating local identifiability" and "In this part of the tutorial".

More interesting, can we have the same examples pushed to DataDrivenDiffEq ContinuousDataDrivenProblem to validate the complete workflow MTK, StructuralIdentifiability and model discovery from data using DataDrivenDiffEq. @AlCap23

finmod avatar Jan 30 '22 17:01 finmod

@finmod Thank you for pointing out the typos, I created a pr #1443 to fix them! I will take a look at ContinuousDataDrivenProblem soon

iliailmer avatar Feb 02 '22 22:02 iliailmer

Hey! Nice work!

I've discussed this topic briefly with Chris. This could definitely improve the consistency of the DataDrivenResult. The DataDrivenProblem on its own is model agnostic, the method brings in the information. So if we could provide something to check the discovered model after the fitting, this would be really nice. 👍

AlCap23 avatar Feb 05 '22 05:02 AlCap23

Implemented as tutorials

ChrisRackauckas avatar Feb 22 '24 18:02 ChrisRackauckas