Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities

IF 1.8 4区数学 Q1 STATISTICS & PROBABILITY

American Statistician Pub Date : 2024-03-11 DOI:10.1080/00031305.2024.2329681

Yifan Yang, Chixiang Chen, Shuo Chen

引用次数: 0

Abstract

Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and neuroimaging, am...

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具有互联群落的高通量生物医学数据的协方差矩阵估计

估计协方差矩阵是高维数据分析的核心。对包括基因组学、蛋白质组学、微生物组和神经影像学在内的高维生物医学数据进行实证分析，是一项非常重要的工作。

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

American Statistician 数学-统计学与概率论

CiteScore

3.50

自引率

5.60%

发文量

审稿时长

>12 weeks

期刊介绍： Are you looking for general-interest articles about current national and international statistical problems and programs; interesting and fun articles of a general nature about statistics and its applications; or the teaching of statistics? Then you are looking for The American Statistician (TAS), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher''s Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.