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We study a exible model to address the lack of fit in conventional functional linear regression models. This model, called the sparse functional additive model, is used to characterize the ...
We propose an extensive framework for additive regression models for correlated functional responses, allowing for multiple partially nested or crossed functional random effects with flexible ...
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