Research output per year

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Personal profile


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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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 journalArticle

  • 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 journalArticle

    Open Access
  • 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 BookConference 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 journalArticle

  • 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 journalArticle

    Open Access
  • 1 Citation (Scopus)