Statistics at Melbourne

Statistics is the science of collecting, organising and interpreting data. Mathematical descriptions of the data collection processes and the statistical analysis are used to determine accurate statistical methods.

The Statistics group is interested in the application of statistical theory in a rich variety of contexts, including:

Biostatistical issues such as meta-analysis and survival analysis
Food science statistics such as measuring and describing the quality of consumables
Environmental applications including population modelling
Group testing
Drug testing in sport
Bioinformatics
Sample surveys.

The group's link with the Statistical Consulting Centre means that there are research opportunities arising from real-world applications that are readily available.

Latest news

Academic staff

Data Science, Mathematical Biology, Statistics

howard.bondell@unimelb.edu.au +61 3 834 40169

Research Fellow

Imke.Botha@unimelb.edu.au

yaoban@unimelb.edu.au +61 3 834 48820

Statistics

tingjin.chu@unimelb.edu.au +61 3 834 44248

Statistics

sjclarke@unimelb.edu.au +61 3 834 46797

Statistics

aurored@unimelb.edu.au +61 3 834 49731

Statistics

sfinch@unimelb.edu.au +61 3 834 46994

High-dimensional statistics, Machine Learning, Network analysis

ian.gallagher@unimelb.edu.au

Causal Reasoning, Computer Vision, Machine Learning

mingming.gong@unimelb.edu.au +61 3 834 49211

Applied statistics

irg@unimelb.edu.au +61 3 834 47993

Statistics

hepworth@unimelb.edu.au +61 3 834 44796

Research Fellow
Bioinformatics, Machine Learning, Statistics

david.hirst@unimelb.edu.au

lhodgkinson@unimelb.edu.au

Causal Inference, Functional data, Measurement Errors

wei.huang@unimelb.edu.au +61 3 834 42438

Harmonic Analysis and Group & Representation Theory, Orthogonal functions and polynomials, Quantum Chaos, Quantum field theory, Quantum Information Theory, Random Matrix Theory, Supersymmetry & Graded Algebras, Telecommunications systems, Time Series

m.kieburg@unimelb.edu.au +61 3 834 47419