Two-sample mean vector projection test in high-dimensional data
Author:
Funder
National Natural Science Foundation of China
National Statistical Science Research Project
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00180-023-01374-0.pdf
Reference24 articles.
1. Ayyala DN, Ghosh S, Linder DF (2022) Covariance matrix testing in high dimension using random projections. Comput Stat 37(3):1111–1141
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3. Chen SX, Qin YL (2010) A two-sample test for high-dimensional data with applications to gene-set testing. Ann Stat 38(2):808–835
4. Chen X, Xu M, Wu WB (2016) Regularized estimation of linear functionals of precision matrices for high-dimensional time series. IEEE Trans Signal Process 64(24):6459–6470
5. Chiaretti S, Li X, Gentleman R et al (2004) Gene expression profile of adult t-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival. Blood 103(7):2771–2778. https://doi.org/10.1182/blood-2003-09-3243
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