弱稀疏性下的高维判别分析

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-07-29 DOI:10.1080/03610926.2024.2372065

Yao Wang, Zeyu Wu, Cheng Wang

引用次数: 0

摘要

在这项工作中，我们考虑了弱稀疏性条件下的判别分析，在这种条件下，许多参数项几乎为零。我们建立了一个统一的 LASSO 类型框架，以估计参数的稀疏性。

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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High dimensional discriminant analysis under weak sparsity

In this work, we consider the discriminant analysis under the weak sparsity where many entries of the parameters are nearly zero. We develop a unified LASSO-typed framework to estimate the paramete...

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来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. 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.