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Functional additive model

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This sandbox is in the article namespace. Either move this page into your userspace, or remove the {{User sandbox}} template. Functional Additive Models (FAM) can be viewed as an extension of Generalized Functional Linear Models where the linearity assumption between the response (scalar or functional) and the functional linear predictor is replaced by an additivity assumption.