On the functional regression model and its finite-dimensional approximations

The problem of linearly predicting a scalar response Y from a functional (random) explanatory variable X = X(t), t ∈ I is considered. It is argued that the term “linearly” can be interpreted in several meaningful ways. Thus, one could interpret that (up to a random noise) Y could be expressed as a l...

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Автор:	Berrendero, José (author)
Інші автори:	Cholaquidis, Alejandro (author), Cuevas, Antonio (author)
Формат:	article
Мова:	Англійська
Опубліковано:	2024
Предмети:	FUNCTIONAL DATA ANALYSIS FUNCTIONAL REGRESSION RKHS METHODS COMPARISON OF LINEAR MODELS
Онлайн доступ:	https://hdl.handle.net/20.500.12008/48454
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