用于分组分析的异质功能回归

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-10-28 DOI:10.1080/10618600.2024.2414113

Yeqing Zhou, Fei Jiang

引用次数: 0

摘要

随着现代数据集的特征越来越多，数据异质性逐渐成为常态而非例外。经典回归通常假定所有样本都具有异质性。

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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Heterogeneous functional regression for subgroup analysis

With ever increasing number of features of modern datasets, data heterogeneity is gradually becoming the norm rather than the exception. Whereas classical regressions usually assume all the samples...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.