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• W2588700130 abstract "Abstract: In their article, Greven and Scheipl describe an impressively general framework for performing functional regression that builds upon the generalized additive modelling framework. Over the past number of years, my collaborators and I have also been developing a general framework for functional regression, functional mixed models, which shares many similarities with this framework, but has many differences as well. In this discussion, I compare and contrast these two frameworks, to hopefully illuminate characteristics of each, highlighting their respective strengths and weaknesses, and providing recommendations regarding the settings in which each approach might be preferable." @default.
• W2588700130 created "2017-02-24" @default.
• W2588700130 creator A5001295453 @default.
• W2588700130 date "2017-02-01" @default.
• W2588700130 modified "2023-10-18" @default.
• W2588700130 title "Comparison and contrast of two general functional regression modelling frameworks" @default.
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• W2588700130 doi "https://doi.org/10.1177/1471082x16681875" @default.
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