关于函数对函数的线性量化回归

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-08-28 DOI:10.1080/02664763.2024.2395960

Muge Mutis, Ufuk Beyaztas, Filiz Karaman, Han Lin Shang

引用次数: 0

摘要

我们提出了两种创新的函数偏量化回归算法，旨在准确、高效地估计函数对函数线内的回归系数函数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On function-on-function linear quantile regression

We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linea...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.