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Semi-parametric estimation of Autoregressive Conditional Duration (ACD) models

Method of Maximum Likelihood (ML) is used to estimate ACD model parameters. Estimating Function (EF) is a popular semi-parametric approach in time series modelling. This project dev more...

Supervisor(s): Peiris, Shelton (Associate Professor)

Game theory based transmission strategies for cognitive radio

It has been recognized by radio regulatory bodies that the exclusive use of spectrum to licensed users is highly efficient. This is due to the high variability of traffic statistics more...

Supervisor(s): Li, Yonghui (Professor), Vucetic, Branka (Professor)

Dynamics of gymnasts and divers

Geometric and dynamic phase in non-rigid body dynamics, with applications in biomechanics. more...

Supervisor(s): Dullin, Holger (Professor)

Modular representation theory of symmetric groups and their Hecke algebras

The representation theory of the symmetric groups is a very dynamic and active field with many challenging open problems. more...

Supervisor(s): Mathas, Andrew (Professor)

Integrable systems

The field of integrable systems is relatively young but has stimulated great interest amongst physicists (in the theory of random matrices, string theory, or quantum gravity) and ma more...

Supervisor(s): Joshi, Nalini (Professor)

Morse Stratification

Looks at ways of stratifying varieties and classifying singularities more...

Supervisor(s): Paunescu, Laurentiu (Professor)

Geometry and Asymptotics of Integrable Systems

The field of integrable systems is relatively young but has stimulated great interest amongst physicists (in the theory of random matrices, string theory, or quantum gravity) and ma more...

Supervisor(s): Joshi, Nalini (Professor)

Informative dropout model for Poisson count data

In biomedical research with longitudinal designs, missing values due to intermittent non-response or premature withdrawal are usually non-ignorable in the sense that unobs more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Multivariate volatility models for high frequency data

Volatility forecast is important in risk management. However since volatility is unobserved, most volatility models like the GARCH models are based on daily return and model volatil more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Investigation of the lifestyle factors associated with low back pain, factors that determine a positive alliance between patients and therapists and motion analysis and muscle recruitment in low back pain.

This research aims to investigate the best management for low back pain as well as establish the lifestyle factors associated with the prevalence of the condition and the motor cont more...

Supervisor(s): Ferreira, Paulo (Associate Professor), Refshauge, Kathryn (Professor)