Hi All,

Thanks for authoring a wonderful probabilistic programming language package. I was wondering if there any plans to add likelihoods for zero-inflated count data? E.g., ZIP (zero-inflated Poisson) and ZINB (zero-inflated negative binomial). Or is there a way to add custom likelihoods yourself?

Even if this means the means of inference becomes some sort of MCMC (e.g., HMC and its variants) it’d be a nice feature. PyMC3, btw, has ZIP support:

https://bwengals.github.io/gps-with-non-normal-likelihoods-in-pymc3.html

Many thanks ahead of time!