A Bayesian approach to estimate transition models forzero-inflated count data
Zero-inflated count data are commonly modelled by mixing a degenerate distribution at zero with a Poisson or negative binomial component, thereby imposing a parametric form on the counts. The transition model of Berger and Tutz instead specifies the conditional probability of moving from one count to the next and treat...