Zero-inflated Poisson (ZIP) regression is a model for count data with excess zeros. It assumes that with probability p the only possible observation is 0, and with probability 1 - p, a Poisson(λ) ...

Poisson regression models are widely used in analyzing count data. This article develops tests for detecting extra-Poisson variation in such situations. The tests can be obtained as score tests ...

There are many code libraries that contain implementations of Poisson regression, such as the Python scikit-learn library PoissonRegressor module. However, implementing Poisson regression from scratch ...

Citations: Bockenholt, Ulf. 1999. INAR (1) Poisson regression models: Analyzing heterogeneity and serial dependencies in repeated count data. Journal of Econometrics. 317-338.

This article presents a complete demo of Poisson regression using the C# language. There are many code libraries that contain implementations of Poisson regression, such as the Python scikit-learn ...