Functional additive model

In statistics, a functional additive model (FAM) can be viewed as an extension of a generalized functional linear model where the linearity assumption between the response (scalar or functional) and the functional linear predictor is replaced by an additivity assumption. == Overview == === Functional Additive Model === In these models, functional predictors ( X {\displaystyle X} ) are paired with responses ( Y {\displaystyle Y} ) that can be either scalar or functional.

Source: Wikipedia — Functional additive model (CC BY-SA 4.0)

Functional additive model

In statistics, a functional additive model (FAM) can be viewed as an extension of a generalized functional linear model where the linearity assumption between the response (scalar or functional) and the functional linear predictor is replaced by an additivity assumption. == Overview == === Functional Additive Model === In these models, functional predictors ( X {\displaystyle X} ) are paired with responses ( Y {\displaystyle Y} ) that can be either scalar or functional.

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Source: Wikipedia "Functional additive model" · CC BY-SA 4.0

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