On the prediction of rare events when sampling from large data

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-07-29 DOI:10.1080/03610918.2024.2378149

Johanna de Haan-Ward, Simon J. Bonner, Douglas Woolford

引用次数: 0

Abstract

When modeling rare events using logistic regression, independent samples of event occurrence (ones) and nonoccurrence (zeros) are commonly taken from large datasets in order to fit models efficient...

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关于从海量数据中抽样预测罕见事件

在使用逻辑回归对罕见事件进行建模时，通常会从大型数据集中提取事件发生（1）和不发生（0）的独立样本，以拟合出高效的模型。

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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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. 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.