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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