I have been using stan for some hierarchical modeling on large datasets, and it has proved to be useful and powerful. I would like to know if there are resources out there for learning what goes on under the hood of stan. I’d like to know the general numerical procedure at a low/mid level simply so I can build intuition on troubleshooting. I have some very high level knowledge, but I’d like to be more learned. You guys have been very responsive and helpful, but it would be good to self-teach myself as I continue to use stan for more modeling work.
Another critical reason for seeking resources is that the models I develop in stan will eventually be submitted to the FDA and EMA for regulatory endorsement through different qualification pathways. In which case, I’ll need to be more fluent than I am now to address questions they might have.