Dissipation and relaxation in statistical mechanics. This project studies the mathematical conditions for relaxation either to equilibrium or to steady states, which is important in predicting behaviour in diverse fields including climate modelling, materials science, nanotechnology and biology. Early career researchers will be involved in the project, gaining valuable skills in theory and simulation.
Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as vo ....Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as volatility in price series, extremal (risky) behaviour of financial systems, and turning points of the business cycle. Discoveries will be disseminated through published papers and presentations at a major international conference. Ongoing e-research links with France will also be established.Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less
Closing the Gap Between Theory and Data in Macroeconometrics. This project aims to bring econometric models (the empirical vehicle for inference) and economic models (the theory) closer together. A new model is intended to be proposed that will address a significant issue with the interpretation of the outputs of the econometric models. As a first contribution, the project is expected to develop the model and an inferential framework for this model using probability theory on manifolds. In a sec ....Closing the Gap Between Theory and Data in Macroeconometrics. This project aims to bring econometric models (the empirical vehicle for inference) and economic models (the theory) closer together. A new model is intended to be proposed that will address a significant issue with the interpretation of the outputs of the econometric models. As a first contribution, the project is expected to develop the model and an inferential framework for this model using probability theory on manifolds. In a second contribution, it is expected to construct an algorithm to permit inference leading to outputs useful to policy analysts. The model is intended to be parsimonious, which facilitates the development of a time-varying version to allow the model to evolve with the economy and provide better policy guidance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101190
Funder
Australian Research Council
Funding Amount
$451,000.00
Summary
Innovating and Validating Scalable Monte Carlo Methods. This project aims to develop innovative scalable Monte Carlo methods for statistical analysis in the presence of big data or complex mathematical models. Existing approaches to scalable Monte Carlo are only approximate, and their inaccuracies are difficult to quantify. This can have a detrimental impact on data-based decision making. The expected outcomes of this project are scalable Monte Carlo methods that are more accurate, fast and capa ....Innovating and Validating Scalable Monte Carlo Methods. This project aims to develop innovative scalable Monte Carlo methods for statistical analysis in the presence of big data or complex mathematical models. Existing approaches to scalable Monte Carlo are only approximate, and their inaccuracies are difficult to quantify. This can have a detrimental impact on data-based decision making. The expected outcomes of this project are scalable Monte Carlo methods that are more accurate, fast and capable of quantifying inaccuracies. Scientists and decision-makers will benefit from the ability to obtain timely, reliable insights for challenging applications.Read moreRead less
Consistent Space-Time Comparisons of Real Income. The project will result in internationally comparable macroeconomic data, spanning all years since 1950 and covering in excess of 120 countries. The Australian government, private sector and academic researchers will find from this project a wealth of economic information on Australia, its geographical neighbours and trading partners which can be used in assessing Australia's economic performance and role in a global context. Results from this pr ....Consistent Space-Time Comparisons of Real Income. The project will result in internationally comparable macroeconomic data, spanning all years since 1950 and covering in excess of 120 countries. The Australian government, private sector and academic researchers will find from this project a wealth of economic information on Australia, its geographical neighbours and trading partners which can be used in assessing Australia's economic performance and role in a global context. Results from this project will provide international organisations, multinationals and researchers with a much improved data set, to those currently available, thus enhancing the reputation of the research team, the University of Queensland and Australia. Read moreRead less
Construction of Consistent Panels of Real Gross Domestic Product and its Components at Current and Constant Prices. The Australian government, international organizations, private sector and academic researchers will find from this project a wealth of economic information on Australia, its geographical neighbours and trading partners which can be used in assessing Australia's economic performance and role in a global context. This project will result in internationally comparable real income, co ....Construction of Consistent Panels of Real Gross Domestic Product and its Components at Current and Constant Prices. The Australian government, international organizations, private sector and academic researchers will find from this project a wealth of economic information on Australia, its geographical neighbours and trading partners which can be used in assessing Australia's economic performance and role in a global context. This project will result in internationally comparable real income, consumption, investment and government expenditures spanning all years since 1950 and covering over 180 countries based on an econometric methodology that is superior to those currently in use. Successful completion of the project will place the research team, the University of Queensland and Australia on the international map.Read moreRead less
Relative free energies from nonequilibrium simulations: algorithms for determination of binding affinities, conformational states and phase transitions. Leading edge research will enable state of the art techniques in statistical mechanics to be applied to practical problems. All processes in biological, chemical and physical systems are governed by their free energy landscape, often only accessible computationally. This project will lead to an advanced tool for free energy calculation. Advanc ....Relative free energies from nonequilibrium simulations: algorithms for determination of binding affinities, conformational states and phase transitions. Leading edge research will enable state of the art techniques in statistical mechanics to be applied to practical problems. All processes in biological, chemical and physical systems are governed by their free energy landscape, often only accessible computationally. This project will lead to an advanced tool for free energy calculation. Advancement of emerging technologies in nanoscience, porous materials, membrane transport and drug design will benefit from this capability. The project therefore addresses the Priority Goal 'Breakthrough science'. A PhD student and an Early Career Research will be trained in research, gaining a range of valuable skills in theory and simulation. Read moreRead less
International Networks in Applied Bayesian Statistics: improving Australia''s knowledge through intelligent data analysis and modelling. National benefits of this project are fourfold: (i) new international networks between Australia, Southern Africa, France and USA in the priority area of mathematical sciences; (ii) state-of-the-art Bayesian statistical methods for integrating and analyzing non-standard data and diverse information sources, including expert opinion, in order to solve complex pr ....International Networks in Applied Bayesian Statistics: improving Australia''s knowledge through intelligent data analysis and modelling. National benefits of this project are fourfold: (i) new international networks between Australia, Southern Africa, France and USA in the priority area of mathematical sciences; (ii) state-of-the-art Bayesian statistical methods for integrating and analyzing non-standard data and diverse information sources, including expert opinion, in order to solve complex problems in environment, industry, health, defence; (iii) direct contribution to solution of global environmental problems, specifically water quality, threatened species and environmental risk; (iv) superior training of the next generation of the global community of researchers in applied statistics.Read moreRead less
Econometric modelling of housing prices and their relationship to climate adaptation issues. The path to climate adaptation in urban communities is directly related to housing infrastructure. The project develops improved and new econometric methods for the prediction of property prices and their components, land and structure, and it will provide estimates of the interplay between flooding risk and property values.