The study of mathematical statistics involves quantitative skills and knowledge of statistical methods, both their practical application and their mathematical foundations. 

Applied statistics is concerned with the application of statistical methods. These applications can be in a huge variety of areas, such as medicine, business, finance, science and industry.

Research includes practical experience using computer systems to analyse data, and the ability to understand and criticise arguments based on numerical data or mathematical reasoning.

Members

• Prof. Adrian Baddeley   BA Hons (ANU), PhD (Cantab.), FAustMS, FAA
  Stochastic geometry, spatial statistics, statistical image analysis, stereology, statistical software.
• Mr Kevin Murray   BSc, MSc
• Dr Nazim Khan   BE(Elect){UWA}, Tech. Teachers Cert {Fiji Inst. of Teach.},BSc(Hons)(UWA), PhD (UWA)
  Stochastic modelling, hidden Markov models, MCMC, computational statistics, experimental design, applications in life sciences and engineering.
• Dr Robin Milne   BA (Well.), PhD (ANU)
  Point processes, multivariate distributions, statistical inference and consulting, stochastic modelling and inference in neurophysiology.
• A/Prof. Tony Pakes   MSc (Melb.), PhD (Monash), ARMIT
  Branching processes, Markov chains and processes, population dynamics, statistical distributions, sample extrema, classical moment problem.
• A/Prof. Valery Stefanov   MSc (Wroclaw Tech.), PhD (Bulg. Acad. Sci.), Dr Habil (Univ. of Wroclaw)
  Applied probability, bioinformatics and computational biology, exponential families of random processes, sequential methods.