Hi all, The following model samples smoothly when using pm.sample and pm.sample_posterior_predictive. But it raises ValueError: operands could not be broadcast together with shapes (500,10886) (500,) when trying pm.sample_prior_predictive (10886 is the number of data points): with pm.Model() as m_…

Sample_prior_predictive doesn't work with Negative Binomial likelihood

AlexAndorra March 31, 2020, 8:09am 3

Yes, same error I’m afraid
Do you want me to file a GH issue?

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