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In computer science, GLMs are non-linear models, while in statistics, if outcome variables can be transformed via a link function to serve as outcomes of ordinary linear regression models, such models are Generalized Linear Models (GLMs). Generalized Estimating Equations (GEE) can be used for parameter estimations for GLMs.
In computer science, GLMs are non-linear models, while in statistics, if outcome variables can be transformed via a link function to serve as outcomes of ordinary linear regression models, such models are Generalized Linear Models (GLMs). Generalized Estimating Equations (GEE) can be used for parameter estimations for GLMs.