Hello,
I’m wondering if there is a way to recover the (unnormalised) log posterior density of each sample when doing MCMC in NumPyro? Basically an equivalent of lp__
in Stan.
Alternatively, it would still be useful if there is a way of evaluating the posterior density of some particular combination of values of all the variables, even if it isn’t automatically done during sampling.
Thanks!