Hi, I’m new to PyMC3, working on fitting a hierarchical Bayes mixed logit model using the yogurt data. Specifically, I have the following code so far Yogurt_Model = pm.Model() with Yogurt_Model: mu = pm.MvNormal('mu', mu = mu_mean, cov = mu_cov, shape = len(mu_mean)) packed_L = pm.L…

How to stack same rows of prior distributions inside the with model effectively

ckrapu July 9, 2020, 10:20pm 6

Yup - that’s exactly right!

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