Non centered parameterization on variance parameter

I should’ve also said that you want a transform that will leave the distribution over quantities of interest unchanged, but let Stan sample from a distribution that looks more like an isotropic Gaussian than it would in the original parameterization. I don’t know how to do that for variance parameters—it would depend on the prior. You can do lognormal the same way you do normal, but I don’t know how to reparameterize something like a gamma.