Associate Professor, Department of Statistics and Actuarial Science
o Office: M3-4019, 200 University Avenue West, Waterloo, ON, CANADA N2L 3G1
o Email: Yingli dot Qin at uwaterloo dot ca
o Phone: +1(519)888-4567 ext. 35506
o PhD, Department of Statistics, Iowa State University, USA
o M.S. Department of Statistics, Iowa State University, USA
o M.S. School of Mathematics and Statistics, Northeast Normal University, China
o B.S. School of Mathematics and Statistics, Northeast Normal University, China
o High-dimensional statistics and random matrix theory
o Wu, Y., Qin, Y. and Zhu, M. (2019+). High-dimensional covariance matrix estimation using a low-rank and diagonal decomposition. The Canadian Journal of Statistics. In press.
o Wu, Y., Qin, Y. and Zhu, M. (2019). Quadratic discriminant analysis for high-dimensional data. Statistica Sinica. 29, 939-960.
o Qin, Y. and Li, W. (2017). Bias-reduced moment estimators of population spectral distribution and their applications. Big and Complex Data Analysis. Springer International Publishing. 103-119.
o Qin, Y. and Li, W. (2016). Testing the order of a population spectral distribution for high-dimensional data. Computational Statistics & Data Analysis. 95, 75-82.
o Li, W. and Qin, Y. (2014). Hypothesis testing for high-dimensional covariance matrices. Journal of Multivariate Analysis. 128, 108-119.
o Xia, N., Qin, Y. and Bai, Z. (2013). Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix. The Annals of Statistics, 41 (5), 2572-2607.
o Li, W., Chen, J., Qin, Y. , Bai, Z. and Yao, J. (2013). Estimation of the population spectral distribution from a large dimensional sample covariance matrix. Journal of Statistical Planning and Inference, 143(11), 1887-1897.
o Chen, S. and Qin, Y. (2010). A two-sample test for high-dimensional data with applications to gene-set testing. The Annals of Statistics, 38 (2), 808-835.
o Chen, S., Peng, L. and Qin, Y. (2009). Effects of Data Dimension on Empirical Likelihood. Biometrika, 96 (3), 711-722.
o Stat 923 Multivariate Analysis: Winter 2018/Winter 2016/Spring 2014
o Stat 850 Estimation and Hypothesis Testing: Fall 2019/Winter 2016/Winter 2014
o Stat 450 Estimation and Hypothesis Testing: Winter 2019/Winter 2016/Winter 2014
o Stat 330 Mathematical Statistics: Fall 2018/Winter 2015/Fall 2012
o Stat 241 Statistics (Advance level): Winter 2020