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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Paper Publications

Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (alphabetical order) Spectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference. Annals of Statistics. (2024)
Yanqing Yin, Yanyuan Ma. Properties of eigenvalues and eigenvectors of large dimensional sample correlation matrices. Annals of Applied Probability. (2022).
Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (alphabetical order) Separable sample covariance matrices under elliptical populations with applications. Transactions of the American Mathematical Society. (2024)
Yanqing Yin*. Spectral statistics of high dimensional sample covariance matrix with unbounded population spectral norm. Bernoulli. (2022).
Yanqing Yin; Shurong Zheng; Tingting Zou. Central Limit Theorem of Linear Spectral Statistics of High-dimensional Sample Correlation Matrices. Bernoulli. (2023).
Li Ming; Wang Cheng; Yin Yanqing; Zheng Shurong. (alphabetical order) High-Dimensional Scale Invariant Discriminant Analysis. Statistica Sinica (2025).
Yanqing Yin, Changcheng Li, Guoliang Tian, Shurong Zheng*. Spectral Properties of Rescaled Sample Correlation Matrix. Statistica Sinica. (2022).
Yanqing Yin, Huiqin Li*, Zhidong Bai. Testing high dimensional covariance structure using double-normalized observations. Science China: Mathematics. (2024).
Yanqing Yin*. Test for high-dimensional mean vector under missing observations. Journal of Multivariate analysis. (2021).
Yanqing Yin*. Some strong convergence theorems for eigenvalues of general sample covariance matrices. Random Matrices Theory and Application. (2022).
Huiqin Li; Yanqing Yin*; Shurong Zheng. (alphabetical order) Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications. J. Statist. Plann. Inference. (2021).
Yanqing Yin*. On the singular value distribution of large-dimensional data matrices whose columns have different correlations. Statistics . (2020).

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