Hierarchical models about bayesflow

[stefanradev93]

Hi Michael,

thank you for your interest in our work. I will be happy to read the pre-print when it is available, as this will be one of the few showcases for simulation-based joint modeling!

We have been playing with the idea of estimating hierarchical models for a while and actually want to enable this in the upcoming future branch of BayesFlow. For that, we have started with the "simpler" problem of hierarchical model comparison, for which we will soon have a pre-print and open-source code.

As for the multilevel estimation you describe, there is still work to be done, but we are positive that we will achieve this in the upcoming months. One challenge here is that multilevel neural estimation requires hacky transformations of the neural architectures in order to properly account for all dependencies implied by the underlying graphical model. Stay tuned!

Best,
Stefan

[mdnunez]

Here is a short conference talk on our integrated single-trial joint modeling work using BayesFlow (mentioned about midway through the video):
https://www.youtube.com/watch?v=WB7mIyc_1dw

The preprint is almost done!

[bnicenboim]

Hi, I was wondering if there is any news about this?

[stefanradev93]

Really cool stuff! Looking forward to reading the pre-print!

[mdnunez]

Here is the preprint! I definitely look forward to the future of this research with hierarchical models.

https://psyarxiv.com/pqv2c

[stefanradev93]

Stay tuned! The hierarchical branch currently features everything needed for the model family Michael described. We are currently doing some systematic benchmarking against Stan before the code becomes ready for "production" and expect to have a pre-print and some tutorials quite soon.