Poisson Regression

A regression method that models count data by estimating the expected number of events through a log-link function.

Poisson regression is an important method for problems in which the target variable is a count rather than a continuous outcome. It is used to model how many times an event occurs within a given time, area, or process. It is common in settings such as insurance claim counts, call-center events, failure counts, and healthcare event frequencies. When used under the right distributional assumptions, it can provide much more appropriate and meaningful results than ordinary linear regression.