School of Mathematics and Statistics

The Department of Statistics at UNSW is an innovative and research intensive department, with ambitions of becoming the leading department for statistical research in Australia. Department members currently hold over $2M in externally funded research grants, both for projects applying modern methods of data analysis and developing new methodology where it is needed. We collaborate locally and internationally with researchers and industry groups in areas as diverse as medicine, finance, ecology and engineering. We have a rich visitors program and meet regularly to discuss research topics of common interest, making UNSW a lively environment for postgraduate and postdoctoral study in statistics.

The department has particular research strengths in the following areas (follow the links for more details):

Stochastic Processes and Financial Mathematics - Concerned with theory and models for describing random processes arising in Mathematics, Physics, Biology, Applied Sciences and Finance and with methods for inference and forecasting.
Bayesian Statistics and Monte Carlo Methods - Concerned with the development of Bayesian methodology and stochastic simulation algorithms.
Biostatistics - Developing novel statistical methods for the medical sciences and biotechnology, including methods for analysing survival data, categorical data, and correlated count data, and methods for analysing gene expression and other complex genetic data.
Environmental and Ecological Statistics - Developing novel statistical methods for the environmental sciences, to address issues such as measurement of climate change and environmental impact assessment.
Smoothing methods and Non-parametric Statistics - Modern applications of non-parametric statistical methods; kernel, spline, wavelet and non-parametric smoothing in curve fitting and density estimation.

The research interests of individual staff members may be obtained by visiting their personal profiles.