梁宇莉

博士

Email: yuli.liang@gxnu.edu.cn

含协方差结构的多元模型，高维统计分析

《线性代数》、《高等数学》、《概率论与数理统计》、《统计学原理》、《多元统计分析》、《广义线性模型》

1. 广西自然科学基金面上项目（基金号：2026GXNSFAA00640734），高维联合用药试验和添加次序试验的设计与统计分析，2026.01–2028.12，参与（排名第3），在研

2. 瑞典Kock-Lindberg 和Lamberg, Tor & Agnes 基金青年项目，小样本的渐近性研究, SU 571-1527-12, 2012.10.1-2013.09.01, 个人主持，已结题

3. 瑞典K & A Wallenberg 基金青年项目，区间数据的主成分分析,

SU FV2.1.8-2396-13, 2013.10.1-2014.09.01, 个人主持，已结题

4. 瑞典皇家科学院G.S.Magnuson基金青年项目，分层多元模型的协方差结构,

FOA11Magn-117, 2011.3.1-2011.12.31, 个人主持，已结题

[13] Dai, D., Liang, Y., Muhinyuza, S., Pan, J. (2026). Adaptive regularization of high-dimensional Toeplitz covariance matrix. Statistics and Probability Letters. 236, 110784. (SCI)

[12] Liang, Y., Dai, D., Jin, S. (2026). On convergence of regularized covariance estimator based on modified Cholesky decomposition. Journal of Multivariate Analysis. 212, 105553. (SCI)

[11] Dai, D., Hao, C., Jin, S., Liang, Y. (2025). Regularized estimation of Kronecker structured covariance matrix using modified Cholesky decomposition. Journal of Statistical Computation and Simulation. 95 (5). 905-930. (SCI)

[10]Filipiak, K., John, M., Liang, Y.  (2024). Testing covariance structures belonging to a quadratic subspace under a doubly multivariate model. TEST. 33. 847-876. (SCI)

[9]Liang, Y., Hao, C., Dai, D. (2024). Two-sample intraclass correlation coefficient tests for matrix-valued data. Statistical Modeling and Applications: Heavy-Tailed, Skewed Distributions and Mixture Modeling, Volume 2. Springer. （专著）

[8] Liang, Y., Coelho, C.A., Von Rosen, T.(2022). Hypothesis testing in multivariate normal models with block circular covariance structures. Biometrical Journal. 64 (3). 557-576. (SCI)

[7]Dai, D., Pan, J., Liang, Y. (2022). Regularized estimation of the Mahalanobis distance based on modified Cholesky decomposition. Communications in Statistics: Case Studies, Data Analysis and Applications. 8 (4). 559-573. (SCI)

[6]Liang, Y.,Ghilagaber, G.(2022). Bayesian Survival Analysis with the Extended Generalized Gamma Model: Application to Demographic and Health Survey Data. Modern Biostatistical Methods for Evidence-Based Global Health Research. Springer. 287-318.（专著）

[5] Dahlberg, K., Stenberg, E., Liang, Y., Nilsson, U., Jaensson, M. (2022). The General Self-Efficacy Scale in a population planned for bariatric surgery in Sweden: a psychometric evaluation study. BMJ Open. 12 (11). (SCI)

[4] Liang, Y., Rosen, D.V., Rosen, T.V. (2021). On properties of Toeplitz-type covariance matrices in models with nested random effects. Statistical papers. 62 (6). 2509-2528. (SCI)

[3] Dai, D., Liang, Y. (2021). High-Dimensional Mahalanobis Distances of Complex Random Vectors. Mathematics. 9 (16). (SCI)

[2] Jaensson, M., Stenberg, E., Liang, Y., Nilsson, U., Dahlberg, K. (2021). Validity and reliability of the Swedish Functional Health Literacy scale and the Swedish Communicative and Critical Health Literacy scale in patients undergoing bariatric surgery in Sweden: a prospective psychometric evaluation study. BMJ Open. 11 (11). (SCI)

[1] Liang, Y., Dai, D. (2020). On Explicit Estimation of the Growth Curve Model with a Block Circular Covariance Structure. Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen. Springer. 255-266.（专著）

2014年获国际线性统计推断会议青年学者最佳学术报告奖。

中国现场统计研究会随机矩阵理论与应用分会理事, Journal of Official Statistics副主编