Hi JAGS forum;

I am running a model that includes a partially observed variable coming from a 0-truncated Poisson distribution. Although the Poisson mean is restricted by its prior to fall between 0 and 100, the model returns values of Infinity for some of the unobserved values (not all). The problem goes away when I also set an upper truncation limit for the Poisson, which I seem to be able to choose as high as I want to (went up to 1mio). Since the mean of the distribution is close to 1, there should be effectively no support for values that high. Is that a reasonable approach to this problem, and any idea what is going wrong without the upper truncation limit?

PS: The problem does not occur with a normal, i.e. not 0-truncated Poisson, so it seems to be some issue with the truncation.

Thanks!