I am trying to sample from a posterior distribution. The model is defined by a DAG of parameters. There are several conditional independencies among the parameters to be sampled. Does Stan automatically take advantage of this to optimize sampling of the posterior, when using NUTS/HMC?
If not, is there something I can do to specify the conditional independencies to make the sampling faster?