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On function-on-function linear quantile regression

Published in arXiv (Cornell University) • Oct 12, 2025
NobleIDNI9P43W89R89S14
Authors:
Muge Mutis
,
Ufuk Beyaztas
,
Filiz Karaman

Abstract

We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linear quantile regression model. Our algorithms utilize functional partial quantile regression decompositio...

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