[agtsai] Why am I getting a dimension mismatch in my PyMC3 hierarchical model? pymc3, hierarchical-bayesian asked by agtsai on 09:46PM - 05 Oct 18 UTC

The shape error you are having is because you broadcasted the alpha and beta of the pm.Beta too early. In # Parameters for coins theta = pm.Beta('theta', omega_c[mint_idx]*(kappa_c[mint_idx]-2)+1, (1-omega_c[mint_idx])*(kappa_c[mint_idx]-2)+1, …

Why can't I use a Bernoulli as a likelihood variable in a hierarchical model in PyMC3?

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agtsai October 6, 2018, 6:34pm 4

Ah, it was the shape of mint_idx. Thank you so much!

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Why can't I use a Bernoulli as a likelihood variable in a hierarchical model in PyMC3?

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