Statistical inference for principal components of spiked covariance matrices

Author:

Bao Zhigang1,Ding Xiucai2,Wang Jingming1,Wang Ke1

Affiliation:

1. Department of Mathematics, Hong Kong University of Science and Technology

2. Department of Statistics, University of California, Davis

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mode-wise principal subspace pursuit and matrix spiked covariance model;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-09-02

2. The influence of artificial intelligence on the manufacturing industry in South Africa;South African Journal of Economic and Management Sciences;2024-08-21

3. Distributed Learning for Principal Eigenspaces without Moment Constraints;Journal of Computational and Graphical Statistics;2024-05-24

4. Inference for heteroskedastic PCA with missing data;The Annals of Statistics;2024-04-01

5. Principled and interpretable alignability testing and integration of single-cell data;Proceedings of the National Academy of Sciences;2024-02-28

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