Hilbertian additive regression with parametric help

초록

We discuss a way of improving local linear additive regression when the response variable takes values in a general separable Hilbert space. Our methodology covers the case of non-additive regression function as well as additive. We present relevant theory in this flexible framework and demonstrate the benefits of the proposed technique via a real data application.

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