Dr Ziyang Lyu

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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.

E-mail

ziyang.lyu@unsw.edu.au

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)

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Dr Ziyang Lyu