Gammapriori
Gammapriori is a term used in Bayesian statistics to denote the gamma prior distribution when modeling positive scale parameters such as Poisson rate parameters or precision terms.
In its standard form, a gamma prior for a rate λ takes shape α > 0 and rate β > 0,
Due to conjugacy with the Poisson likelihood, if data consists of counts x_i assumed Poisson with rate
Applications include modeling event rates in epidemiology, queueing theory, and reliability engineering, as well as various
Choice of hyperparameters reflects prior knowledge: α and β encode prior strength and the expected rate. Small values