Validating And Optimising The Analysis Of Magnetic Resonance Physiology Data
Funder
National Health and Medical Research Council
Funding Amount
$91,725.00
Summary
Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles ar ....Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles are applicable and optimal for fMRI-EEG data. The proposed project aims at validating and optimising the analysis strategies for fMRI-EEG data.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional ....Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional moments of the underlying innovation processes in modelling asset return dynamics. The proposed model is characterised by higher order nonlinear structures which are captured graphically by the mean impact surface. The project also plans to develop a new class of tests to detect higher order dependencies among asset returns in the presence of time-varying volatility, and to investigate the implications for constructing portfolios with exotic options to hedge risk during financial crises.Read moreRead less
Dynamic Count Models of Financial Contagion with Applications to Global Banking and Currency Crises. An international model of contagion and interconnectedness is developed and applied using annual time series on banking and currency crises in developed and emerging countries. The model represents a new class of multivariate dynamic count models that allows for important dynamical interactions to capture the transmission of financial crises across national and international asset markets. The p ....Dynamic Count Models of Financial Contagion with Applications to Global Banking and Currency Crises. An international model of contagion and interconnectedness is developed and applied using annual time series on banking and currency crises in developed and emerging countries. The model represents a new class of multivariate dynamic count models that allows for important dynamical interactions to capture the transmission of financial crises across national and international asset markets. The properties of the models are investigated as well as the development of new estimation methods based on simulation techniques. An important implication of the approach is that it can be used as an early warning signal of future crises, thereby providing an input into the design of future policy on crisis management.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100030
Funder
Australian Research Council
Funding Amount
$4,978,958.00
Summary
ARC Training Centre for Next-Gen Architectural Manufacturing. The Centre will generate specialised workforce capacity within Australia’s architectural sector. Leveraging advanced architectural computing discoveries will connect architectural design with the opportunities afforded by advanced manufacturing systems. The Centre will triangulate world-leading researchers, visionary partners, and talented graduates, integrating research into practice through digital business strategies, augmented int ....ARC Training Centre for Next-Gen Architectural Manufacturing. The Centre will generate specialised workforce capacity within Australia’s architectural sector. Leveraging advanced architectural computing discoveries will connect architectural design with the opportunities afforded by advanced manufacturing systems. The Centre will triangulate world-leading researchers, visionary partners, and talented graduates, integrating research into practice through digital business strategies, augmented intelligence, and computing domains of expertise. The Centre’s program of industry-embedded PhD’s, national/international placements, short courses, and post-doctoral projects will co-develop the change agents needed to transform the architectural profession to meet our nation’s immediate strategic needs.Read moreRead less
A New Phase and New Issues of Rural-Urban Migration in China. China’s urbanisation has come to a turning point. The large pool of rural young workers (16-25 years of age), which fed the industrialisation needs of the 1990s and 2000s, has exhausted. Future growth needs to rely on the increase in the length of stay of the existing migrants and the increase in older new migrants. Due to this shift, the institutional restrictions, which deter family migration, become the key challenge. This project ....A New Phase and New Issues of Rural-Urban Migration in China. China’s urbanisation has come to a turning point. The large pool of rural young workers (16-25 years of age), which fed the industrialisation needs of the 1990s and 2000s, has exhausted. Future growth needs to rely on the increase in the length of stay of the existing migrants and the increase in older new migrants. Due to this shift, the institutional restrictions, which deter family migration, become the key challenge. This project examines the cost of the migration restrictions (shortened labour supply and reduced human capital accumulation for the current and next generation migrants: their education, health and pro-social behaviour); and the best way to reform the restrictions on family migration and the priority for the reform.Read moreRead less
The predictive, behavioural and economic forecasting performance of alternative credit risk and bankruptcy models: a global study. This study empirically evaluates a range of "new age" credit risk models using a large global sample of failed firms and bond ratings data. The study will provide a substantive body of empirical evidence to assist regulators, creditors, investors and other users assess the merits, strengths and limitations of alternative risk modelling approaches.
Price Discovery in Equity and Volatility Futures for Trading and Hedging. This project aims to develop a multivariate asynchronous technique to analyse the price discovery of movements in equity stock indices, volatility index futures and exchange traded products. This project expects to generate new knowledge in the area of financial econometrics using an innovative mixed frequency sampling approach to establish robust causal inferences. Expected outcomes of the project include enhanced econome ....Price Discovery in Equity and Volatility Futures for Trading and Hedging. This project aims to develop a multivariate asynchronous technique to analyse the price discovery of movements in equity stock indices, volatility index futures and exchange traded products. This project expects to generate new knowledge in the area of financial econometrics using an innovative mixed frequency sampling approach to establish robust causal inferences. Expected outcomes of the project include enhanced econometric theory and its implementation in applied finance. This should provide significant benefits in the price discovery of the equity index in Australia, including insights that will help Australian funds in hedging and trading volatility.Read moreRead less
Massively parallel algorithms for Bayesian inference and decision making. This project uses the graphical processing units of desktop computers, originally developed for games and video, to enhance substantially the quantitative tools used on a daily basis by economists. It will develop procedures and software to enhance the reliability of economic predictions and policy.
Building economic development through psychosocial intervention. This project is the first study that reduces poverty and increases productivity in a post-conflict country by addressing the psychosocial problems that impede the capacity of a workforce to effectively learn and apply skills. Although conducted in Aceh, Indonesia, these findings may show how to reduce poverty in all countries affected by conflict.