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Everything about Functional additive model

Statistical model extension

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 and the functional linear predictor is replaced by an additivity assumption. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Functional additive modelA 5-minute orientation
  2. Skim a recent paper: Nonparametric Functional Graphical Modeling Through Functional Additive Regression OperatorInfluential work since 2022
  3. Pick up a classic book: Invitation to Computer ScienceThe most-reprinted book on the subject
  4. Read the landmark paper: Functional Additive Mixed ModelsCited 192 times
  5. Go sideways: Generalized functional linear modelA closely related topic
  6. Go sideways: Functional principal component analysisA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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