Poisson mixture
= Poisson mixture
{c}
{title2=$Y\mid\Lambda\sim\operatorname{Poisson}(\Lambda)$}
A model with $Y\mid\Lambda\sim\operatorname{Poisson}(\Lambda)$ for a nonnegative random intensity. <Conditional expectation> and total <variance> give $\mathbb E Y=\mathbb E\Lambda$ and $\operatorname{Var}Y=\mathbb E\Lambda+\operatorname{Var}\Lambda$, explaining <overdispersion>. A <Poisson-gamma mixture> gives the <negative binomial distribution>.