再现核希尔伯特空间中缺失数据的函数量子回归

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Xiao-Ge Yu, Han-Ying Liang
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引用次数: 0

摘要

在本文中,我们将重点放在功能部分线性量子回归上,在这种情况下,观测值是随机缺失的,这使得响应或协变量或响应与协变量的模拟回归成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional quantile regression with missing data in reproducing kernel Hilbert space
We, in this article, focus on functional partially linear quantile regression, where the observations are missing at random, which allows the response or covariates or response and covariates simul...
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来源期刊
CiteScore
2.00
自引率
12.50%
发文量
320
审稿时长
7.5 months
期刊介绍: The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
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