How to verify that uncertainty (estimated from pymc3) is accurate?

Hi @gbernstein,

I have followed your above instruction and below is the results (M = 1028).

  1. Could you please let me know if it looks reasonable?
  2. How would I interpret the outcomes of the KS test (D statistics and P-value)?


And here is the ECDF:
image

  1. The above results are when I chose HalfGaussian Priors for my parameters. However, when Uniform Priors are chosen the U_i distribution looks “less” uniform. My naive conjecture is that HalfGaussian Priors are “better” suited for my problem than Normal Priors. Is that reasonable? FYI: below are results from Uniform Priors:

image

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