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Australian State/Territory : WA
Research Topic : Approximation Theory
Field of Research : Statistics
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  • Funded Activity

    Discovery Projects - Grant ID: DP0210572

    Funder
    Australian Research Council
    Funding Amount
    $175,000.00
    Summary
    Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes .... Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes will include the development of new theory in probability and statistics, the initiation and reinforcement of collaborative ties with major international research figures, and the fostering of contacts with the finance industry.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120102388

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    From Bayesian filtering to smoothing and prediction for multiple object systems. This project will develop new and improved algorithms for tracking multiple targets, such as tanks, submarines or planes, using the state of the art in mathematical and computational design. These will enable more efficient and accurate technologies for defence related applications including intelligence, surveillance and reconnaissance.
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    Funded Activity

    Discovery Projects - Grant ID: DP120102343

    Funder
    Australian Research Council
    Funding Amount
    $105,000.00
    Summary
    Parameter estimation for multi-object systems. Parameter estimation in multi-object system is essential to the application of multi-object filtering to a wider range of practical problems with social and commercial benefits. This project develops the necessary parameter estimation techniques for complete 'plug-and-play' multi-object filtering solutions that facilitates widespread applications.
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    Funded Activity

    Linkage Projects - Grant ID: LP0219322

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there .... Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there a major changes to existing series, improving the analysis of such series and the decisions based on them.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100928

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Improving risk management based on short-term stochastic forecast for financial decisions. The project targets the problems of strategy selection in the framework of mathematical finance. The aim is to find ways to reduce the impact of forecast errors in the presence of uncertainty. Related forecasting algorithms and solutions of optimization problems will be obtained.
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    Funded Activity

    Discovery Projects - Grant ID: DP130102322

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Statistical methodology for events on a network, with application to road safety. This project develops new methods to analyse road traffic accident rates, aiming to identify accident black spots and to develop an evidence base for future road design and road safety management. These methods can be applied to other types of events on a network of roads, railways, rivers, electrical wires, communication networks or airline routes.
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    Showing 1-6 of 6 Funded Activites

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