Higher degree research

Higher degree research

The Department of Statistics offers programs leading to the following postgraduate research degrees:

Programs may be taken either by full-time or by part-time study and arrangements may be made under certain conditions for supervision of research to be conducted externally.

Student research projects

StudentCourseSupervisor/sThesis title
Aydin HibbertMRes;STATGillian HellerBoosting in Generalised Additive Models for Location Shape and Scale
Yixuan  LiuMRes;STATJustin WishartRobust local polynomial estimation and bandwidth selection with long range dependence data
Guilherme Saffi FrancoMRes;STATPetra GrahamPredicting return to continence, an individual patient data meta-analysis
Ali ShariatiMRes;STATHassan DoostiNon-parametric Inference in the Presence of Biased Sampling
Nayeema SultanaMRes;STATGillian HellerStatistical Models for the number of childern in a Fijian population
Rinat AkterPhD;STATJun MaMarkov multi-state models and their penalised likelihood estimations
Aya AlwanPhD;STATThomas Fung
Justin Wishart
Observation driven Conway–Maxwell–Poisson (CMP) time series models
Joseph DescallarPhD;STATJun Ma
Ayse Bilgin
Maurizio Manuguerra
Maximum penalized likelihood for time to event regression modelling of competing risks with interval censoring
Andrew GrantPhD;STATBarry QuinnDiscriminant Analysis in Time Series
Andrew LockePhD;STATJun MaExtensions to an augmented Lagrange approach for constrained optimizations in empirical likelihood estimations
Ding MaPhD;STATJun MaPenalised Method of Sieves For Semi-Parametric Accelerated Failure Time Model with Interval-Censored Data
Lijing MaPhD;STATGeorgy SofronovChange-Point Detection in AR Processes via Cross-Entropy Method
Busayasachee  Puang- NgernPhD;STATJun MaThe estimation of semiparametric generalised linear models
Kasun RathnayakePhD;STATJun MaA general semi-parametric survival model and its penalised likelihood estimation
Nishanthi  RaveendranPhD;STATGeorgy SofronovSpatial Segmentation Methods
Mark ThackhamPhD;STATJun MaEstimating life time probability of default for competing risks
Gustavo ThomasPhD;STATGillian HellerImproving the analysis of speech perception tests

Recent completions

StudentCourseSupervisor/sThesis title
Aya AlwanMRes;STATDavid BulgerOptimisation of Dynamic Toll-Pricing Schemes, Using VISSIM
Wienli HuMRes;STATGillian HellerStatistical Models for Speech Perception Tests
Thilini KuluratneMRes;STATGeorgy SofronovA Cross-Entropy Method for Optimal Stopping Problems
Andrew LockeMRes;STATJun MaAugmented Lagrange for Constrained Optimizations in Empirical Likelihood Estimations
Ding MaMRes;STATJun MaPenalised method of sieves for semi-parametric AFT model with right-censored survival data
Lijing MaMRes;STATGeorgy SofronovChange-Point Detection in an AR(1) Process via the Cross-Entropy Method
MRes;STATAyse Bilgin
Timothy Kyng
Big Data and its implications for the statistics profession and statistics education
MRes;STATGeorgy SofronovBinary Segmentation Methods for Identifying Boundaries of Spatial Domains
Mark ThackhamMRes;STATJun MaLifetime Probability of Default – Cox Model with Time-Dependent Covariates Using Maximum Likelihood
Adrian BarkerPhD;STATNino KordzakhiaLog Quantile Differences and the Temporal Aggregation of Alpha-stable Moving Average Processes
Mark DonoghoePhD;STATIan MarschnerSemi-parametric regression models for risk differences, rate differences and relative risks
Md. Jamil KaramiPhD;STATKehui LuoAn Extension of Model Selection Curves Framework to Accelerated Failure Time Models
Braddon  LancePhD;STATGraham WoodTemplate-based modelling of protein structure
Jinqing LiPhD;STATJun MaMaximum Penalized Likelihood Estimation For Semi-parametric Regression Models With Partly Interval-Censored Failure Time Data
Kristy RobledoPhD;STATIan MarschnerStatistical algorithms for semi-parametric variance regression with application to biomarkers
Manjula SchouPhD;STATIan MarschnerRandomised Clinical Trials: Statistical Investigations of Bias, Inefficiency and Misinterpretation
PhD;STATGeorgy SofronovThe Cross-Entropy Method and Multiple Change-Point Detection in Genomic Sequences
Jing XuPhD;STATJun MaCox proportional hazard model estimation under dependent censoring by maximum penalized likelihood
Zamira ZamzuriPhD;STATGillian HellerSpatio-temporal traffic accident modelling

How to apply

For all research degrees, supervision must be available and candidates can be accepted only where suitable specialised supervision is available. Candidates should check the research interests of members of the department and approach potential supervisors prior to making application to the university.

Prospective candidates should also contact the Department’s Research Degree Co-ordinator Associate Professor Jun Ma for discussion prior to filling out an application.

You can also visit the Higher Degree Research Office (HDRO) section for more information, entry requirements and how to apply.

Further Enquiries

Associate Professor Jun Ma
Phone: (02) 9850 8548
Email: jun.ma@mq.edu.au

For more information about Higher Degree Research and Research Training Pathways contact our HDR Office or call us at +61 2 9850 7987.

Back to the top of this page