Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology wi ....Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology will be applied to the analysis of medical imaging data and to the estimation of spatial econometric models of residential real estate prices. The expected outcomes include developments in the frontier framework of Bayesian computational estimation methodology, improved methods for medical image processing and estimation of high resolution spatial models of residential real estate prices in Australian metropolitan centres.Read moreRead less
Human Capital, Cognitive Skills and Labour Market Outcomes. As Australia competes in the ‘educational race,’ this project will generate new knowledge on the relationship between education, skill attainment and economic outcomes in Australia. The research will provide new empirical evidence on cognitive and non-cognitive skills formation over the life-cycle, and the relationship between these skills and labour market outcomes in Australia within the broader international context. The research wil ....Human Capital, Cognitive Skills and Labour Market Outcomes. As Australia competes in the ‘educational race,’ this project will generate new knowledge on the relationship between education, skill attainment and economic outcomes in Australia. The research will provide new empirical evidence on cognitive and non-cognitive skills formation over the life-cycle, and the relationship between these skills and labour market outcomes in Australia within the broader international context. The research will advance methodological techniques for the economic analysis of cognitive skills and their economic impacts. The research will inform public policy formulation relating to educational attainment, skill development, and strategies to encourage longer workforce engagement over the life-cycle.Read moreRead less
The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and pro ....The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and provide a template for research and evaluation in this field. Outcomes are expected to set priorities for action to improve socio-economic conditions, productivity and health for people with disabilities.Read moreRead less
Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating n ....Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating natural resource depletion and degradation into productivity analysis with the aim of better informing environmental, innovation and industry policy.Read moreRead less
Statistical Analysis of State-Dependent Government Spending Multipliers. This project aims to provide a new statistical analysis of the government spending multiplier by acknowledging that government spending is the sum of sectoral spending which has heterogeneous effects on the economy. An added complication is that the multiplier can also be state-dependent, meaning that its magnitude can differ across recessions and expansions. Expected outcomes of this project include a better understanding ....Statistical Analysis of State-Dependent Government Spending Multipliers. This project aims to provide a new statistical analysis of the government spending multiplier by acknowledging that government spending is the sum of sectoral spending which has heterogeneous effects on the economy. An added complication is that the multiplier can also be state-dependent, meaning that its magnitude can differ across recessions and expansions. Expected outcomes of this project include a better understanding of the components of the multiplier by novel decomposition and the development of a new statistical test for the state-dependency of the multiplier. This should provide significant benefits to researchers by bringing in new tools and insights and to policymakers by providing timely guidance on fiscal policies.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the tren ....ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the trend towards robotic-assisted minimally invasive surgery continues. What makes this project novel is the anatomical organ modeling approach based on virtual springs and dampers traversing between the top and bottom surfaces of the organs and tissues, contrary to previous approaches.Read moreRead less
An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, mos ....An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, most notably optimisation. The techniques and methods developed should also have significant benefits in the many disciplines where approximation problems appear, such as engineering, physics or data mining. The research outputs resulting from this project will be used in a wide range of fields to help implement programs, policies and improve decision making.Read moreRead less
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less