Heterogeneous functional regression for subgroup analysis

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
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Abstract

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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用于分组分析的异质功能回归
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。
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来源期刊
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.
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