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#65 PyMC, Aeppl, & Aesara: the new cool kids on the block, with Ricardo Vieira

Learning Bayesian Statistics

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Sobasenty, Random Generations

In pims you say, there's going to be something that takes bitter random draws. And down stream of that, that's maybe going to be anormal that takes these bitter random draws as the mean. But until this point, there's no lock peace or densities or anything in the model you define. So everything is based on the rendofyp basically. Now, yes, they are the core foundation in that way. Basically, they are symbolic objects. Then they become a density when you need to evaluate the model, for instance. Or they become a random number generator when you needs to forward semp. They are already a render number generatod and then we literally do

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