I have a question regarding how to deal with missing values in zero-inflated models. In these kind of models, we have discrete values (zeros) which come from Bernoulli distribution and non zero values which come from either continuous or discrete distribution.
I saw the concept of marginalization in some forums. But I don’t understand how can I apply it for this kind of models. I’m grateful if anyone have any solution for this.
Thank you very much