A link function is a crucial component in generalized linear models (GLMs) that connects the linear predictor to the mean of the response variable. It transforms the expected value of the response variable, allowing for flexibility in modeling various types of data distributions. Understanding link functions is essential when dealing with applications like rating factors, reserving, and regression analysis, as they help specify how the predictors influence the response.
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