Poisson regression

A Poisson regression models independent count responses by

Y_{i} \sim Pois (μ_{i}), lo g μ_{i} = x_{i}^{T} β .

Its likelihood is

\prod_{i} e^{- μ_{i}} μ_{i}^{y_{i}} / y_{i}!

 Ancestors (6)