Which belong to the GLM family?

In the realm of statistical modeling and data analysis, the Generalized Linear Models (GLM) family plays a pivotal role. They offer a versatile framework for capturing the relationship between response variables and explanatory variables. Given the vast array of statistical techniques, it is natural to ask: "Which models specifically belong to the GLM family?" This question arises to clarify the scope and applications of GLMs. Some well-known examples that fall under this umbrella include linear regression, logistic regression, and Poisson regression. Each of these models possesses unique characteristics that make them suitable for different types of data and research questions. However, understanding which models constitute the GLM family is essential for selecting the appropriate analytical tool for a given problem.