Making Tweedie’s compound Poisson model more accessible

Abstract The most commonly used regression model in general insurance pricing is the compound Poisson with gamma claim sizes. There are two different parametrizations for this model: Poisson-gamma parametrization and Tweedie’s parametrization. Insurance industry typically prefers We review both parametrizations, provide new results that help to lower computational costs parameter estimation within generalized linear models, we evidence supporting preference