测量受限分类响应数据流的最优子采样

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-10-31 DOI:10.1080/10618600.2024.2421990

Jun Yu, Zhiqiang Ye, Mingyao Ai, Ping Ma

引用次数: 0

摘要

高速、大规模数据流已变得无处不在。通常情况下，这些数据的相关标签测量成本高昂，而且并不总是可以预先获得。因此，分析...

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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Optimal Subsampling for Data Streams with Measurement Constrained Categorical Responses

High-velocity, large-scale data streams have become pervasive. Frequently, the associated labels for such data prove costly to measure and are not always available upfront. Consequently, the analys...

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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.