Two-stage Bayesian regression enforcing a fixed distribution (not Just Hierarchical regression)

I think that’s the same principle. Assign the variable you don’t want to update to a separate step sampler that always draws from a given forward function.

I am not sure how to interpret it though. Such variable is not representing uncertainty but an irreducible stochastic process that influences the rest of your observations?