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Field of Research : Applied Statistics
Australian State/Territory : VIC
Research Topic : cancer risk
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  • Funded Activity

    Discovery Projects - Grant ID: DP110102041

    Funder
    Australian Research Council
    Funding Amount
    $345,000.00
    Summary
    Information theoretic approaches to optimise genome wide association studies with application to continuous and discrete traits. This project aims to develop new mathematical methods to find genetic associations from new genome-wide studies of colorectal cancer and breast cancer risk factors. If successful, this will result in improved use of expensive genetic data to better predict and understand diseases, conditions and other characteristics for humans, animals and plants.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100723

    Funder
    Australian Research Council
    Funding Amount
    $232,449.00
    Summary
    Modelling claim dependencies for the general insurance industry with economic capital in view: an innovative approach with stochastic processes. This project will develop and enhance multi-dimensional models used to describe and assess the risks borne by general insurers. These innovative methods, which will be directly applicable by the industry, will strengthen the efficiency and the safety of the Australian economy.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455003

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    Models for Australian Electricity Derivatives. Electricity derivatives, such as electricity futures and options are used to manage the risk associated with volatility in prices of electricity. This project aims to develop models for pricing electricity derivatives specifically suited for Australia. Because of the non-storable nature of electricity the standard option pricing principle of "no-arbitrage" does not apply to electricity options, such as caps and floors, but applies to options on elec .... Models for Australian Electricity Derivatives. Electricity derivatives, such as electricity futures and options are used to manage the risk associated with volatility in prices of electricity. This project aims to develop models for pricing electricity derivatives specifically suited for Australia. Because of the non-storable nature of electricity the standard option pricing principle of "no-arbitrage" does not apply to electricity options, such as caps and floors, but applies to options on electricity futures. Therefore a specific model is needed that takes into account the pricing principle of "no-arbitrage" and combines it with other factors that drive electricity prices. The novel element in this proposal is incorporation of the weather forecasts into the models for electricity options. As a result of this study appropriate models for electricity derivatives for various geographical regions in Australia will be developed.
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    Funded Activity

    Australian Laureate Fellowships - Grant ID: FL110100003

    Funder
    Australian Research Council
    Funding Amount
    $1,814,346.00
    Summary
    New directions, new problems and new data types in statistical science. Statistically challenging problems today involve answering many more questions than we have data. Solving them will elucidate the causes of diseases such as cancer, and provide better security for the community. The project will develop new methods for tackling these challenging problems, taking statistical science in new directions.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100125

    Funder
    Australian Research Council
    Funding Amount
    $415,000.00
    Summary
    Nonparametric data analysis in statistical science. Changes in technology have enabled new types of data to be collected, often more complex and in much larger quantities than ever before, and altered fundamentally the types of questions that need to be asked of those data. The research program will develop new statistical methods for analysing new types of data, for example functional data and data with many dimensions, and will also introduce greatly improved solutions to problems that involve .... Nonparametric data analysis in statistical science. Changes in technology have enabled new types of data to be collected, often more complex and in much larger quantities than ever before, and altered fundamentally the types of questions that need to be asked of those data. The research program will develop new statistical methods for analysing new types of data, for example functional data and data with many dimensions, and will also introduce greatly improved solutions to problems that involve more conventional data types. These techniques will have critical applications to diverse fields. The program will contribute substantially to capacity building in a strategically important area, statistical science, of great value to Australia but where chronic skills shortages exist.
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