Constrained or partitioned inference for Turing models. #2249
Description
We currently have options to allow users to specify constraints for MAP/MLE optimisation-based learning.
It would be interesting to also allow users to specify constraints for MCMC sampling, e.g., each chain is confined to sampling from a partition. Then, the user can merge MCMC samples from different partitions somehow.