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特任研究员
- 教师拼音名称：yangqing
- 电子邮箱：8682bfbe8a1088b63563e6484ef7d998b18f74b50692645e9acf3bc00773d54dcad2ef94004cb974d91f6627dd1aefb1b8adc14c3dfb5838a5561402d64663d841fb82146dafc12bc0f71dc043932f8679a8d89c15a076ce57ed8eb0c301d5d72e1b504e6ff798c2d04885617442c509563fd7c368e3d71dec2ef4965c5a139e
- 学位：博士
访问量：
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[1] Chen, B. B., Pan, G. M., Yang, Q. and Zhou, W. Large dimensional empirical likelihood. Statistica Sinica, 25, 1659-1677, 2015..
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[2] Jin, B. S., Pan, G. M., Yang, Q. and Zhou, W. On high-dimensional change point problem. Science China Mathematics, (invited paper), 59 (12), 2355-2378, 2016..
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[3] Yang, Q. and Pan, G. M. Weighted statistic in detecting faint and sparse alternatives for highdimensional covariance matrices. Journal of the American Statistical Association, 112 (517), 188-200, 2017..
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[4] Han, X., Pan, G. M. and Yang, Q. A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications. Bernoulli, 24 (4B), 3447-3468, 2018..
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[5] Yang, Q. and Cheng, G. Discussion on "Covariate-assisted ranking and screening for large-scale two-sample inference”. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 81(2), 228-229, 2019..
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[6] Dette, H., Pan, G. M. and Yang, Q.* Estimating a change point in a sequence of very high dimensional covariance matrices. Accepted by Journal of the American Statistical Association. .
