高维数据的统计和机器学习中的缩后策略

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2023-11-24 DOI:10.1080/02664763.2023.2286426

引用次数: 0

摘要

发表于Journal of Applied Statistics(提前印刷，2023年)

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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Post-shrinkage strategies in statistical and machine learning for high dimensional data

Published in Journal of Applied Statistics (Ahead of Print, 2023)

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.