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
Fingerprint
Dive into the research topics where Shuangzhe Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
Research output
-
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data
Ma, L., Zhang, Y., Leiva, V., Liu, S. & Ma, T., 1 Apr 2022, In: Expert Systems with Applications. 191, p. 1-17 17 p., 116143.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Could significant regression be treated as insignificant: An anomaly in statistics?
Cheng, Y., Hui, Y., Liu, S. & Wong, W. K., 2022, In: Communications in Statistics Case Studies Data Analysis and Applications. 8, 1, p. 133-151 19 p.Research output: Contribution to journal › Article › peer-review
-
Harmonic contribution determination based on change-point monitoring and shape context algorithm
Liu, H., Ma, T., Zhang, Y., Liu, S., Wang, Y. & Guo, J., Feb 2022, In: IET Generation, Transmission & Distribution. 16, 3, p. 453-466 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Matrix differential calculus with applications in the multivariate linear model and its diagnostics
Liu, S., Leiva, V., Zhuang, D., Ma, T. & Figueroa-Zúñiga, J. I., Mar 2022, In: Journal of Multivariate Analysis. 188, p. 1-13 13 p., 104849.Research output: Contribution to journal › Article › peer-review
-
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic
Liu, Y., Mao, C., Leiva, V., Liu, S. & Silva Neto, W. A., Apr 2021, (E-pub ahead of print) In: Journal of Applied Statistics. p. 1-25 25 p.Research output: Contribution to journal › Review article › peer-review
1 Citation (Scopus)