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Dr Ziyang Lyu

Dr Ziyang Lyu

Research Associate
Science
School of Mathematics & Statistics

I am a lecturer in the School of Mathematics and Statistics and a Research Associate in uDASH. Prior to joining ÁñÁ«¹ÙÍø, 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 ÁñÁ«¹ÙÍø 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,
    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,
    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,
    Journal articles | 2023
    Lyu Z; Welsh AH, 2023, 'Small Area Estimation using EBLUPs under the Nested Error Regression Model', Statistica Sinica,
    Journal articles | 2023
    Lyu Z, 2023, 'Analysis of estimating the Bayes rule for Gaussian mixture models with a specified missing-data mechanism', Computational Statistics,
    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,
    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,
    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,
  • Working Papers | 2024
    Lyu Z; Sisson S; Welsh AH, 2024, Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models, ,
    Working Papers | 2022
    2022, Small Area Estimation using EBLUPs under the Nested Error Regression Model,
    Working Papers | 2022
    2022, Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation, ,
  • Preprints | 2024
    Lyu Z; Sisson SA; Welsh AH, 2024, Increasing dimension asymptotics for two-way crossed mixed effect models, ,
    Preprints | 2023
    Lyu Z; Ahfock D; Thompson R; McLachlan GJ, 2023, Semi-supervised Gaussian mixture modelling with a missing-data mechanism in R, ,
    Preprints | 2022
    Lyu Z; Ahfock D; McLachlan GJ, 2022, Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation,
    Preprints | 2022
    Lyu Z; Welsh AH, 2022, Small Area Estimation using EBLUPs under the Nested Error Regression Model,

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)