tinop99

Hi again, thanks for your quick response! We're using pyPESTO (& amici) to estimate some parameters of our model that we imported as a petab problem. As objective function we...

Hi, the positive control worked to some extent. Building the amici-model where (only) the 4 varied parameters are being estimated works perfectly (all 4 parameter values are recovered succesfully). However,...

Thanks a lot! We'll try what you've described. Attached is a log from a recent synthetic data run with the described problem. [Petab.o6676198.txt](https://github.com/PEtab-dev/PEtab/files/11052333/Petab.o6676198.txt)

Hello again! When simulating x0 and x(=lowerBound estimation), both return fval=inf and a NaN gradient array: `x0 [4.43052460e+03 4.74989700e-02 1.76712096e+03 2.69725482e+03 9.80273433e-01 9.54331653e-04 4.52053080e+03 3.58057466e+03 1.86169367e+03 2.64421356e+03 2.65209090e-03 2.75037286e+03 1.93020909e-02...

Hi, we tried simulating directly after optimization but got the same result. Strangely enough, if we simulate directly after optimizing in the working case, the simulation also results in fval=inf...

That seems to resolve the lowerBound error, thanks! The estimation is now able to recover some but not all the true parameter values and the NaN-value error messages still appear...