Generalized Additive Models | Vibepedia

Generalized Additive Models (GAMs) are a powerful statistical technique that extends generalized linear models (GLMs) by allowing for non-linear relationships between predictor variables and the response variable. They offer a flexible yet interpretable approach to modeling complex data patterns, making them valuable across various scientific and analytical domains.