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Socio-Economic Objective : Mathematical sciences
Research Topic : analysis
Australian State/Territory : VIC
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  • Funded Activity

    Special Research Initiatives - Grant ID: SR0354466

    Funder
    Australian Research Council
    Funding Amount
    $20,000.00
    Summary
    Mathematics in Contemporary Science. The Mathematics in Contemporary Science Research Network brings contemporary methods of non-linear analysis and differential equations, geometric reasoning and relevant algebraic and topological ideas to enrich six application areas in modern science: Complex Systems, Computer Vision, Optimal Transportation, Nanotechnology, Physics and Shortest Networks. MiCS will develop both the mathematics and the application areas in parallel. It will focus on postgradu .... Mathematics in Contemporary Science. The Mathematics in Contemporary Science Research Network brings contemporary methods of non-linear analysis and differential equations, geometric reasoning and relevant algebraic and topological ideas to enrich six application areas in modern science: Complex Systems, Computer Vision, Optimal Transportation, Nanotechnology, Physics and Shortest Networks. MiCS will develop both the mathematics and the application areas in parallel. It will focus on postgraduate training through workshops, summer schools and web based resources and build long-term international collaborations with EU networks and NSERC, NSF and EPSRC institutes as well as bringing together academic and industry leaders.
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    Funded Activity

    Discovery Projects - Grant ID: DP0556070

    Funder
    Australian Research Council
    Funding Amount
    $763,470.00
    Summary
    Theory and Applications of Computer-Intensive Statistical Methods. The availability of powerful computing equipment has had a dramatic impact on statistical methods and thinking. It has motivated development of novel approaches to data analysis, whose conception and appreciation, even their application, often demand sophisticated and complex theoretical methods. In this context, the project will develop new approaches to solving non-standard statistical problems. These techniques will eithe .... Theory and Applications of Computer-Intensive Statistical Methods. The availability of powerful computing equipment has had a dramatic impact on statistical methods and thinking. It has motivated development of novel approaches to data analysis, whose conception and appreciation, even their application, often demand sophisticated and complex theoretical methods. In this context, the project will develop new approaches to solving non-standard statistical problems. These techniques will either have direct application to solving practical problems of national or community concern, or provide a better understanding of the nature of such problems.
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    Funded Activity

    ARC Centres Of Excellence - Grant ID: CE0348217

    Funder
    Australian Research Council
    Funding Amount
    $15,861,051.00
    Summary
    Centre for Mathematical and Statistical Modelling of Complex Systems. This Centre, formed by a group of high-profile researchers, brings expertise from linked but hitherto disparate areas together. It will place Australia at the forefront of research into complex systems. The mission of the Centre is to stimulate research in mathematical and statistical modelling of complex systems and to encourage cross-fertilisation of ideas and techniques. The specific objectives are - to formulate and ana .... Centre for Mathematical and Statistical Modelling of Complex Systems. This Centre, formed by a group of high-profile researchers, brings expertise from linked but hitherto disparate areas together. It will place Australia at the forefront of research into complex systems. The mission of the Centre is to stimulate research in mathematical and statistical modelling of complex systems and to encourage cross-fertilisation of ideas and techniques. The specific objectives are - to formulate and analyse mathematical and statistical models for natural and artificial complex systems, - to use these models to develop an understanding of the behaviour of these systems - to incorporate this understanding into strategies for management and control.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345157

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    NUMERICAL MODELS OF PLATE TECTONICS, MANTLE CONVECTION AND SLAB DYNAMICS WITH EVOLVING FAULTS. We plan to develop a method for simulating large-scale geological structures with a much improved treatment of tectonic faults in 3D. Current computer models have sharp geological faults at plate boundaries represented by broad, blurred zones. New techniques for modeling cracks in engineering structures will be scaled up to the whole Earth. This will help us to understand how the Earth's p .... NUMERICAL MODELS OF PLATE TECTONICS, MANTLE CONVECTION AND SLAB DYNAMICS WITH EVOLVING FAULTS. We plan to develop a method for simulating large-scale geological structures with a much improved treatment of tectonic faults in 3D. Current computer models have sharp geological faults at plate boundaries represented by broad, blurred zones. New techniques for modeling cracks in engineering structures will be scaled up to the whole Earth. This will help us to understand how the Earth's plates move and interact now and in the past and how the structure of the continents arose. Not only is this intrinsically interesting, it will also be of immediate practical benefit to geological modelers.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343811

    Funder
    Australian Research Council
    Funding Amount
    $108,000.00
    Summary
    Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstra .... Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstrap) methods, which will provide a much-needed improvement over the existing (asymptotic) methods for making inference about the long-run. Our research will lead to more reliable models for long-term planning in business, industry and government.
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    Funded Activity

    Discovery Projects - Grant ID: DP0984399

    Funder
    Australian Research Council
    Funding Amount
    $387,943.00
    Summary
    Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The .... Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The outcome of this project will be immediately useful for macroeconomic policy makers such as the Reserve Bank of Australia and the Treasury, and for industry bodies such as Tourism Australia.
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