I am moving a graduate course I teach on statistics from frequentist to Bayesian and from Python to Julia. I mostly work with Python in my day job and have only implemented some basic Bayesian models with PyMC3.
I was looking into Turing since it’s the most similar to PyMC3 but Soss features caught my eye, mainly that you can construct a model without reference to the sampling algorithm or target variables which you perform inference with/on in that model. This separation of model, data, and algorithm seem like a very good idea pedagogically.
There doesn’t seem to be much documentation or examples of Soss. Am I missing something? If the full extent of the documentation is this then maybe I could help out by building some examples and contributing to documentation.
- I’m pretty new to both Bayesian stats and Julia so how viable would this be?
- What are the main channels of communication to contribute to Soss?