Projects per year
Personal profile
Biography
Shuang earned his doctorate in econometrics from Tinbergen Institute/the University of Amsterdam, the Netherlands under Professor Heinz Neudecker’s supervision. After working at the University of Basel, Switzerland and the Australian National University, he joined the University of Canberra in 2003.
Shuang teaches a number of statistics units for both undergraduate and postgraduate students. He serves as a reviewer for more than 35 mathematics, statistics, econometrics and other journals and as an associate editor for 4 international journals. He currently studies issues in econometrics, statistics and data science with applications to various areas and enjoys collaborating with colleagues from Australia and overseas. Jointly, he has more than 120 international publications.
Research interests
- Distribution theory and its applications
- Financial, insurance and environmental statistics and data analytics
- Matrix differential calculus
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 1 Finished
Research Output
A shape-based cutting and clustering algorithm for multiple change-point detection
Zhuang, D., Liu, Y., Liu, S., Ma, T. & Ong, S. H., 1 May 2020, In : Journal of Computational and Applied Mathematics. 369, p. 1-17 17 p., 112623.Research output: Contribution to journal › Article
Diagnostic analytics for an autoregressive model under the skew-normal distribution
Liu, Y., Mao, G., Leiva, V., Liu, S. & Tapia, A., May 2020, In : Mathematika. 8, 5, p. 1-19 19 p., 693.Research output: Contribution to journal › Article
Open Access
File
6
Citations
(Scopus)
Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication
Tran, N., Tran, D., Liu, S., Trinh, L. & Pham, T., 1 Jan 2020, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019). CISIS 2019, ICEUTE 2019. Sáez Muñoz, J. A., Corchado, E., Martínez Álvarez, F., Troncoso Lora, A. & Quintián, H. (eds.). Switzerland: Springer, p. 57-66 10 p. (Advances in Intelligent Systems and Computing; vol. 951).Research output: A Conference proceeding or a Chapter in Book › Conference contribution
1
Citation
(Scopus)
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates
Jin, J., Ma, T., Dai, J. & Liu, S., 9 Jul 2020, In : Computational Statistics. p. 1-35 35 p.Research output: Contribution to journal › Article
Using mixed probability distribution functions for modelling non-zero sub-daily rainfall in Australia
Hasan, M. M., Croke, B. F. W., Liu, S., Shimizu, K. & Karim, F., 24 Jan 2020, In : Geosciences (Switzerland). 10, 2, p. 1-11 11 p.Research output: Contribution to journal › Article
Open Access
File
1
Citation
(Scopus)