Lets say I have some Bayesian model for which the full conditional distributions of some of the variables are known in closed form. How can I write the appropriate Gibbs sampler for these variables in Turing.jl?
Lets say I’m interested in the very simple model outlined in this example: https://mambajl.readthedocs.io/en/latest/tutorial.html
I haven’t been able to find any documentation for doing this in Turing.