k is a random variable
k ~ Normal(μ, σ), μ and σ have some other priors. I want to use a non-centered parameterization of the prior. I want to do something like this
k_ ~ Normal(0, 1) k = k_ * σ + μ
Since the above doesn’t use
~ Turing doesn’t record
k, it only records
k_. Is there a way to do this in Turing?