Jupyter notebook for a Bayesian inversion of critical wedge parameters

bayes_wedge_inversion.ipynb

I see the problem now.

You need to run something like

priors['likelihood'] = priors.apply(calc_row_likelihood, axis=1)

instead of

priors = calc_row_likelihood(priors)

If it doesn't work exactly, read the error messages and try to understand them to find the problem.

Ok. Perfect.

Thank you. It work correctly.

Great, I am glad I could help. Good luck with your research!

Thank you. El vie., 17 ene. 2020 a las 9:50, Richard Styron (<[email protected]>) escribió:

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