What are the pros and cons of using pymc3 vs writing a model in Stan and using pystan/rstan? It looks like the minibatch support of variational inference is one feature that pymc3 has up on Stan.<p>Another question, what are the practical limits of MCMC with lot? I asked a question on statsexchange a year ago [1] that had ~2000 data points, but it is analogous to a research problem I have that would have more like ~100 million data points. Would a model like the one I suggested there ever finish running?<p>[1] <a href="https://stats.stackexchange.com/questions/441250/pope-effect-on-pizza-regression-with-presence-absence-and-similarity-data-as-d" rel="nofollow">https://stats.stackexchange.com/questions/441250/pope-effect...</a>