About: Functional additive models

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In statistics, functional additive models (FAM) can be viewed as extensions 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.

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  • In statistics, functional additive models (FAM) can be viewed as extensions 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. (en)
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  • In statistics, functional additive models (FAM) can be viewed as extensions 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. (en)
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  • Functional additive models (en)
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