Dr Ziyang Lyu
Research Associate

Dr Ziyang Lyu

Science
School of Mathematics & Statistics

I am a postdoctoral research fellow in the uDASH. Before joining UNSW, I held a one-year postdoc position at the University of Queensland after obtaining a Ph.D. from Australian National University.

Location
School of Mathematics and Statistics UNSW Sydney NSW 2052, AUSTRALIA The Red Centre Room 1050
  • Journal articles | 2022
    Lyu Z; Alan W, 2022, 'Small Area Estimation using EBLUPs under the Nested Error Regression Model', Preprint, http://dx.doi.org/10.48550/arXiv.2210.09502
    Journal articles | 2022
    Lyu Z; Daniel A; Geoffrey M, 2022, 'Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation', Arxiv, https://arxiv.org/abs/2210.13785
    Journal articles | 2022
    Lyu Z; Welsh AH, 2022, 'Increasing cluster size asymptotics for nested error regression models', Journal of Statistical Planning and Inference, vol. 217, pp. 52 - 68, http://dx.doi.org/10.1016/j.jspi.2021.07.009
    Journal articles | 2021
    Lyu Z; Welsh AH, 2021, 'Asymptotics for EBLUPs: Nested Error Regression Models', Journal of the American Statistical Association, pp. 1 - 15, http://dx.doi.org/10.1080/01621459.2021.1895178
  • Preprints | 2022
    Lyu Z; Ahfock D; McLachlan GJ, 2022, Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation, http://arxiv.org/abs/2210.13785v1
    Preprints | 2022
    Lyu Z; Welsh AH, 2022, Small Area Estimation using EBLUPs under the Nested Error Regression Model, http://arxiv.org/abs/2210.09502v1

My main research fields are small are estimations, linear mixed models, the finite Gaussian Mixture models, and asymptotic theories on Maximum Likelihood inferences. I’m also interested in exploring extreme value theorem and machine learning, especially semi-supervised learning (Pattern recognition), from statistical methodology.

My Research Supervision

Jason Wang (Master student)

Yue Tao (Master student)