Hi, I wonder what would be the hierarchical model given having missing in observed? I am assuming pymc3 will automatically assign a prior (not sure what it looks like) to missing values but I can not work out the full model. Would the likelihood be p(non-missing | missing, \theta)? However, in the …

What does the hierarchical model look like when having missing in observed?

junpenglao October 28, 2018, 1:51am 10

Interesting - I am surprised that it works so well. Could you please share your code and (stimulation) data?

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