Hi. Here is something that I really don’t get.
Pymc3 have a step method called
I would guess that if NUTS work well for categorical distribution, there would be no need to use
Does that mean NUTS and Hamiltonian Monte Carlo generally don’t work well for categorical and Bernoulli distributions? Why is this the case?