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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Industry Linked Phd Program: National Industry PhD Program_Adoption and use of technology to protect vulnerable people against technology-facilitated domestic violence
ROMANO, R. (CI), JOHN, B. (CoI), LIU, S. (CoI) & MCCALLUM, K. (CoI)
16/02/26 → 16/08/29
Project: Other
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Research output
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A shape-enhanced outlier-detection framework for regression tasks
Xiong, Z., Han, A., Ma, T. & Liu, S., Feb 2026, In: Knowledge-Based Systems. 335, p. 1-15 15 p., 115187.Research output: Contribution to journal › Article › peer-review
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Bayesian local influence analysis for the spatial autoregressive combined model
Liu, Y., Yan, S., Chu, T. & LIU, S., 2026, In: Spatial Statistics. 74, p. 1-24 24 p., 101001.Research output: Contribution to journal › Article › peer-review
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Change Point Analysis: Theory and Application
LIU, S. & Ma, T., 2026, In: Technometrics. p. 1-2 2 p.Research output: Contribution to journal › Book/Film/Article review › peer-review
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Constructing Insurable Risk Portfolios
Rachev, S. T. & LIU, S., 2026, In: Technometrics. p. 1-3 3 p.Research output: Contribution to journal › Book/Film/Article review › peer-review
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Distributed composite expectile regression neural network for large-scale nonlinear modeling
Jin, J., Chen, Y., Ma, T. & Liu, S., 14 Aug 2026, In: Neurocomputing. 690, p. 1-21 21 p., 133836.Research output: Contribution to journal › Article › peer-review
Press/Media
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Reports from University of Canberra Add New Data to Findings in Statistics (Diagnostic Analytics for a Garch Model Under Skew-normal Distributions)
20/11/24
1 item of Media coverage
Press/Media: Expert Comment
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Studies from University of Canberra in the Area of Risk and Financial Management Published (Bayesian Statistics for Loan Default)
30/03/23
1 item of Media coverage
Press/Media: Expert Comment
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Findings from University of Canberra Update Understanding of Statistics (Diagnostic Analytics for a Garch Model Under Skew-normal Distributions)
27/01/23
1 item of Media coverage
Press/Media: Expert Comment