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AdityaSavara / PEUQSE

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

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plotting posterior responses distribution

AdityaSavara opened this issue · comments

commented

PEUQSE should have an option to keep all the responses and then filter out the unlikely ones and then to plot them.

This would be similar to drawing from the posterior:
az.plot_ppc(az.from_pymc3(posterior_predictive=ppc, model=model_1));
https://docs.pymc.io/en/stable/pymc-examples/examples/diagnostics_and_criticism/posterior_predictive.html

In general, should probably start using ArviZ for plotting.
https://arviz-devs.github.io/arviz/user_guide/pymc3_refitting_xr_lik.html