Teaching
Basic statistics I (1ST401,1ST512)
Basic statistics II (1ST904)
We are accredited
The School of Business and Economics at Linnaeus University is accredited by The Association to Advance Collegiate Schools of Business, AACSB. Only 6 percent of the world’s leading business schools achieve this accreditation, making us one of a few schools that are trailblasers in teaching, research, and societal impact.
Publications
Article in journal (Refereed)
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Dai, D., Liang, Y., Muhinyuza, S., Pan, J. (2026). Adaptive regularization of high-dimensional toeplitz covariance matrix. Statistics and Probability Letters. 236.
Status: Published -
Liang, Y., Dai, D., Jin, S. (2026). On convergence of regularized covariance estimator based on modified Cholesky decomposition. Journal of Multivariate Analysis. 212.
Status: Published -
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.
Status: Published -
Filipiak, K., John, M., Liang, Y. (2024). Testing covariance structures belonging to a quadratic subspace under a doubly multivariate model. Test (Madrid). 33. 847-876.
Status: Published -
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.
Status: Published -
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.
Status: Published -
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).
Status: Published -
Dai, D., Liang, Y. (2021). High-Dimensional Mahalanobis Distances of Complex Random Vectors. Mathematics. 9 (16).
Status: Published -
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.
Status: Published -
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).
Status: Published -
Szczepanska-alvarez, A., Hao, C., Liang, Y., Von rosen, D. (2017). Estimation equations for multivariate linear models with Kronecker structured covariance matrices. Communications in Statistics - Theory and Methods. 46 (16). 7902-7915.
Status: Published -
Hao, C., Liang, Y., Mathew, T. (2016). Testing variance parameters in models with a Kronecker product covariance structure. Statistics and Probability Letters. 118. 182-189.
Status: Published -
Liang, Y., Rosen, D.V., Rosen, T.V. (2015). On estimation in hierarchical models with block circular covariance structures. Annals of the Institute of Statistical Mathematics. 67 (4). 773-791.
Status: Published -
Hao, C., Liang, Y., Roy, A. (2015). Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data. Statistics and Probability Letters. 106. 113-120.
Status: Published -
Liang, Y., Rosen, D.V., Von rosen, T. (2012). On estimation in multilevel models with block circular symmetric covariance structure. Acta et Commentationes Universitatis Tartuensis de Mathematica. 16 (1). 83-96.
Status: Published -
Alam, M., Carling, K., Chen, R., Liang, Y. (2008). How to determine the progression of young skiers?. CHANCE : New Directions for Statistics and Computing. 21 (4). 13-19.
Status: Published
Article in journal (Other (popular science, discussion, etc.))
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Liang, Y. (2014). På väg att lära sig statistik. Qvintense. 3. 6-7.
Status: Published
Doctoral thesis, comprehensive summary (Other academic)
- Liang, Y. (2015). Contributions to Estimation and Testing Block Covariance Structures in Multivariate Normal Models. Doctoral Thesis. Stockholm, Department of Statistics, Stockholm Univeristy. 54.
Chapter in book (Refereed)
- 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.
- 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.
- 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.
Licentiate thesis, comprehensive summary (Other academic)
- Liang, Y. (2011). A study of multilevel models with block circular symmetric covariance structures. Licentiate Thesis. Stockholm, Department of Statistics, Stockholm University. 22.
Report (Other academic)
- Liang, Y., Hao, C., Dai, D. (2024). Two-sample intraclass correlation coefficient tests for matrix-valued data. Department of Economics and Statistics, Linnaeus University. 12.