Hello Pymc Community! I am trying to obtain a ground truth posterior distribution over the parameters of a ≥10 parameter ODE model for the Repressilator system (21 parameters) as shown below: [Screenshot 2025-02-07 at 18.52.16] I can make some assumptions to reduce the parameters to obtain simpl…

Pymc inference for a high dimensional ODE system

ricardoV94 March 15, 2025, 1:46pm 5

Ahh you have an odeint there, what library is that?

There’s sunode for PyMC models that doesn’t need any as_op for sure

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