Renewable Quantile Regression with Heterogeneous Streaming Datasets

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY Journal of Computational and Graphical Statistics Pub Date : 2024-01-23 DOI:10.1080/10618600.2024.2309343
Xuerong Chen, Senlin Yuan
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Abstract

The renewable statistical inference has received much attention since the advent of streaming data collection techniques. However, most existing online updating methods are developed based on a hom...
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使用异构流数据集的可再生量化回归
自流式数据收集技术出现以来,可再生统计推断受到了广泛关注。然而,大多数现有的在线更新方法都是基于同源数据的。
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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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