Dr Ziyang Lyu

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I am a lecturer in the School of Mathematics and Statistics and a Research Associate in uDASH. Prior to joining UNSW, I completed my Ph.D. from the Australian National University in 2020 and subsequently held a one-year postdoctoral position at the University of Queensland.

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 | 2024

Lyu Z; Ahfock D; Thompson R; McLachlan GJ, 2024, 'gmmsslm: Semi-supervised Gaussian mixture modeling with a missing data mechanism in R', Australian and New Zealand Journal of Statistics, http://dx.doi.org/10.1111/anzs.12413

Journal articles | 2024

Lyu Z; Sisson S; Welsh AH, 2024, 'Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models', Submit to Annals of Statistics, https://arxiv.org/abs/2401.06446

Journal articles | 2023

Lyu Z; Poynton S; Sisson S, 2023, 'The impact of changes to liquor licensing policy on violent crime in NSW, 2000-2019', Crime and Justice Bulletin, NO.263, https://www.bocsar.nsw.gov.au/Publications/CJB/CJB263-Report-Liquor-licensing-policy.pdf

Journal articles | 2023

Lyu Z; Welsh AH, 2023, 'Small Area Estimation using EBLUPs under the Nested Error Regression Model', Statistica Sinica, http://dx.doi.org/10.5705/ss.202023.0045

Journal articles | 2023

Lyu Z, 2023, 'Analysis of estimating the Bayes rule for Gaussian mixture models with a specified missing-data mechanism', Computational Statistics, https://doi.org/10.1007/s00180-023-01447-0

Journal articles | 2022

Lyu Z; Welsh AH, 2022, 'Asymptotics for EBLUPs: Nested Error Regression Models', Journal of the American Statistical Association, 117, pp. 2028 - 2042, http://dx.doi.org/10.1080/01621459.2021.1895178

Journal articles | 2022

Lyu Z; Welsh AH, 2022, 'Increasing cluster size asymptotics for nested error regression models', Journal of Statistical Planning and Inference, 217, pp. 52 - 68, http://dx.doi.org/10.1016/j.jspi.2021.07.009

Journal articles | 2018

Lyu Z; Peng K; Hu C-P, 2018, 'P-Value, Confidence Intervals, and Statistical Inference: A New Dataset of Misinterpretation', FRONTIERS IN PSYCHOLOGY, 9, http://dx.doi.org/10.3389/fpsyg.2018.00868
Working Papers | 2024

Lyu Z; Sisson S; Welsh AH, 2024, Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models, http://dx.doi.org, https://arxiv.org/abs/2401.06446

Working Papers | 2022

2022, Small Area Estimation using EBLUPs under the Nested Error Regression Model, http://dx.doi.org10.48550/arXiv.2210.09502

Working Papers | 2022

2022, Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation, http://dx.doi.org10.48550/arXiv.2210.13785, https://arxiv.org/abs/2210.13785
Preprints | 2024

Lyu Z; Sisson SA; Welsh AH, 2024, Increasing dimension asymptotics for two-way crossed mixed effect models, , http://arxiv.org/abs/2401.06446v2

Preprints | 2023

Lyu Z; Ahfock D; Thompson R; McLachlan GJ, 2023, Semi-supervised Gaussian mixture modelling with a missing-data mechanism in R, , http://arxiv.org/abs/2302.13206v3

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 asymptotic analysis, linear mixed models (especially crossed random effect), small are estimations, the finite Gaussian Mixture models. I’m also interested in exploring extreme value theorem and machine learning, especially semi-supervised learning (Pattern recognition), from statistical methodology.

My Teaching

MATH5856- Introduction to Statistics and Statistical Computations (Course Convener)

MATH5806-Applied Regression Analysis(Course Convener)

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