At this point, because my model is hierarchical with several levels of priors and hyperpriors, I’m using the GaussianRandomWalk at the lowest level to model an AR1 coefficient, and ‘inheriting’ from higher levels by adding a value from a normal distribution to the GRW. If someone knows a better way for a GRW to inherit from a higher level I would be grateful to hear it!