尹燕青

发布者:统计与数据科学学院发布时间:2025-09-01浏览次数:10

南京审计大学统计与数据科学学院

姓名:尹燕青  

政治面貌:中共党员

最后学位:博士

岗位职称:副教授、润泽学者

研究领域:高维统计分析、随机矩阵理论及其应用

教授课程:回归分析等

通讯地址:南京市浦口区雨山西路86号

邮编211815

Emailyinyq AT cqu.edu.cn

 

教育经历:

2011.09-2016.06 东北师范大学  统计学专业(硕博连读)理学博士

2007.09-2011.06 哈尔滨工业大学 信息与计算科学专业     理学学士

 

海外留学经历:

2015.10-2016.09 新加坡南洋理工大学联合培养博士研究生

 

宾夕法尼亚州立大学、新加坡南洋理工大学、香港大学、香港科技大学、澳门大学等学府访问学者

 

工作经历:

2025.05-至今    南京审计大学统计与数据科学学院副教授

2021.12-2025.04 重庆大学    数学与统计学学院  副教授、博士生导师

2016.12-2021.11 江苏师范大学数学与统计学学院  讲师、副教授

 

代表性论文:

1.   Spectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference.

 Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (alphabetical order) Annals of Statistics. (2024)

2.   Properties of eigenvalues and eigenvectors of large-dimensional sample correlation matrices.

    Yanqing Yin*, Yanyuan Ma.   Annals of Applied Probability. (2022).

3.   Separable sample covariance matrices under elliptical populations with applications.

Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (alphabetical order) Transactions of the American Mathematical Society. (2024) 

4.   Spectral statistics of high dimensional sample covariance matrix with unbounded population      spectral norm.

Yanqing Yin* .  Bernoulli. (2022).

5.   Central Limit Theorem of Linear Spectral Statistics of High-dimensional Sample Correlation Matrices.    

 Yanqing Yin, Shurong Zheng*, Tingting Zou. Bernoulli (2023).

6.   Spectral Properties of Rescaled Sample Correlation Matrix. 

Yanqing Yin, Changcheng Li, Guoliang Tian, Shurong Zheng*.  Statistica Sinica. (2023).

7.   High-Dimensional Scale Invariant Discriminant Analysis.  

Li Ming; Wang Cheng; Yin Yanqing; Zheng Shurong. (alphabetical order) Statistica Sinica (2025).  

8.   Test for high-dimensional mean vector under missing observations.

Yanqing Yin*.  Journal of Multivariate analysis. (2021).

9.   Testing high dimensional covariance structure using double-normalized observations.

    Yanqing Yin, Huiqin Li*, Zhidong Bai. Science China: Mathematics. (2025).

10.  Some strong convergence theorems for eigenvalues of general sample covariance matrices.    

Yanqing Yin*.   Random Matrices Theory Appl.  (2022).

11.  Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications. 

    Huiqin LiYanqing Yin*; Shurong Zheng.  J. Statist. Plann. Inference. (2021).

12.  On the singular value distribution of large-dimensional data matrices whose columns have different correlations. 

Yanqing Yin* Statistics . (2020)

13.  Model-free tests for series correlation in multivariate linear regression. 

Yanqing Yin*.  J. Statist. Plann. Inference .  (2020)

14.  A central limit theorem for sums of functions of residuals in a high-dimensional regression model with an application to variance homoscedasticity test.  

Zhidong Bai Guangming Pan Yanqing Yin*.   Test.  (2018). 

15.  Central limit theorem for linear spectral statistics of large dimensional quaternion sample covariance matrices.

Yanqing Yin*.   Linear Algebra Appl.  (2018).

16.  Gaussian fluctuations for linear spectral statistics of Wigner beta ensembles. 

Yanqing Yin*.     J. Math. Anal. Appl.  (2018).

17.  On the limit of spectral distribution of large dimensional random quaternion covariance matrices.

Yanqing Yin, Jiang Hu*.   Random Matrices Theory Appl.  (2017).

18. Test on the linear combinations of mean vectors in high dimensional data.

Huiqin li, Zhidong Bai, Jiang Hu*, Yanqing Yin, Kexin Zou.  Test.  (2017).

19.  On the semicircular law of large dimensional random quaternion matrices.

Yanqing Yin, Zhidong Bai*, Jiang Hu.   J. Theoret. Probab.  (2016).

20.  Convergence rates of the spectral distributions of large random quaternion self-dual Hermitian matrices.

Yanqing Yin, Zhidong Bai*.  J. Stat. Phys. (2014).  

21.  On the limit of extreme eigenvalues of large dimensional random quaternion matrices.  

Yanqing Yin, Zhidong Bai*, Jiang Hu.   Phys. Lett. A. (2014).

 

主持项目情况:

1. 基于样本相关矩阵的若干高维数据分析方法

国家自然科学基金面上项目,2023.01-2026.12

2. 高维样本自协方差矩阵的极限定理及其应用

国家自然科学基金青年项目,2019.01-2021.12

3. 自协差阵的谱分析及在金融时间序列的应用

江苏省自然科学基金青年项目,2018.07-2021.06

4. 高维时间序列样本协方差矩阵的谱分离问题

江苏高校自然科学基金面上项目,2018.06-2020.06

 

获奖及荣誉

1. 2023年入选 巴渝学者青年学者

2. 2024年入选 重庆市学术技术带头人(后备人选)

3. 2023年获   重庆大学优秀共产党员

4. 2024年获   重庆大学教书育人奖

5. 2017年获   吉林省优秀博士论文奖

6. 2011年获   哈工大优秀毕业生