Why is a posterior created in pm.Model() when no data are given?

Thanks for having clarified this point! No need to submit an issue. This way of systematically creating a posterior group, even in the absence of data, had seemed a little strange to me, but, basically, it remains logical: if there is no data, posterior = prior, posterior predictive = prior predictive, and you just have to know it…, right?

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