Hi,

I’m pretty new to the PyMC3 and glad to see such a vibrant community. Currently, I’m working on a hierarchical model for price optimization. But being a newbie to more complex Bayesian modeling, I faced a lot of theoretical and technical difficulties regarding using multivariate distributions. Basically, I know how to implement such a model for a single product. But generalizing it to multiple related products with correlated demand functions is a big dilemma. So, I really wonder if you could point me in the right direction, either by introducing online resources you found helpful or by sharing your experience. I appreciate any help you can offer.

Thanks.