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Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Health burden of chronic diseases

This research project aims to model the health burden of chronic diseases and their comorbid conditions using Markov models, Bayesian statistics and Complex network. more...

Supervisor(s): Uddin, Shahadat (Dr)

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)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

Impact of COVID 19 pandemic on cryptocurrency market using time series models with variance gamma distribution

This project will investigate properties of high frequency cryptocurrency returns data which often display high kurtosis. Popular heavy tail distributions like Student t and exponen more...

Supervisor(s): Chan, Jennifer (Associate 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)

Analysis of telematics data using machine learning techniques

Usuage-based auto insurance (UBI) represents a significant evolution in automobile insurance pricing over traditional pricing as it can provide more personalised premiums based on i more...

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

Semi-metric machine learning techniques to investigate trend of COVID 19 spread and impact on stock market

The spread of COVID 19 pandemic appears to occur in several phrases and each phrase has possibly different impacts on the economy as reflected in the stock market. This project aims more...

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

Magnetic Explosions on the Sun

Solar flares are magnetic explosions on the Sun, which directly affect the Earth through their influence on our local space weather. The basic process underlying flare energy releas more...

Supervisor(s): Wheatland, Michael (Professor)