ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Scheme : Linkage Projects
Socio-Economic Objective : Other
Research Topic : Statistical methods
Clear All
Filter by Field of Research
Statistical Theory (3)
Statistics (3)
Stochastic Analysis And Modelling (3)
Construction Engineering (1)
Design Management And Professional Practice (1)
Design Practice and Management (1)
Materials Engineering Not Elsewhere Classified (1)
Medical Physics (1)
Nuclear And Particle Physics (1)
Other Physical Sciences (1)
Sociological Methodology And Research Methods (1)
Filter by Socio-Economic Objective
Other (5)
Mathematical sciences (3)
Civil (1)
Diagnostic methods (1)
Industrial (1)
Medical instrumentation (1)
Filter by Funding Provider
Australian Research Council (5)
Filter by Status
Closed (5)
Filter by Scheme
Linkage Projects (5)
Filter by Country
Australia (5)
Filter by Australian State/Territory
ACT (3)
NSW (3)
QLD (1)
  • Researchers (99)
  • Funded Activities (5)
  • Organisations (56)
  • Funded Activity

    Linkage Projects - Grant ID: LP0562008

    Funder
    Australian Research Council
    Funding Amount
    $446,599.00
    Summary
    Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of .... Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0989811

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th .... Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0883801

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou .... The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0347391

    Funder
    Australian Research Council
    Funding Amount
    $219,779.00
    Summary
    Incorporating Design Management Culture within the Total Project Management Process: a Socio-technical Approach. New project delivery methods (e.g. design & construct; alliance contracting) in major commercial and infrastructure projects have the potential to dramatically increase the value added to clients and the wider community. However to realise this potential, we need to better understand those socio-technical factors that foster an effective design management culture within tradition .... Incorporating Design Management Culture within the Total Project Management Process: a Socio-technical Approach. New project delivery methods (e.g. design & construct; alliance contracting) in major commercial and infrastructure projects have the potential to dramatically increase the value added to clients and the wider community. However to realise this potential, we need to better understand those socio-technical factors that foster an effective design management culture within traditional construction companies, especially their knowledge sharing culture. This project will develop and test an innovative research methodology that blends approaches from the social sciences and engineering. The findings regarding design management will have wide applicability to industry and cover civil, building, mining and process engineering projects, each of which has its own culture.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0882150

    Funder
    Australian Research Council
    Funding Amount
    $324,000.00
    Summary
    Rare isotopes as tracers of prosthesis debris. The incidence of knee replacement surgery in Australia is 30,000 per year. Limited by wear debris, the lifespan of knee implants is only 10-15 years and can be much shorter. Due to increasing life expectancy, many patients need several surgical procedures. As a multi-disciplinary team of materials-, isotope-tracing- and medical-experts, we aim to understand and monitor wear debris in prostheses. Knee replacement surgery alone imposes a high burden o .... Rare isotopes as tracers of prosthesis debris. The incidence of knee replacement surgery in Australia is 30,000 per year. Limited by wear debris, the lifespan of knee implants is only 10-15 years and can be much shorter. Due to increasing life expectancy, many patients need several surgical procedures. As a multi-disciplinary team of materials-, isotope-tracing- and medical-experts, we aim to understand and monitor wear debris in prostheses. Knee replacement surgery alone imposes a high burden of annually half a billion dollars on the Australian health budget. Controlling and reducing wear debris in prosthesis joints would reduce these costs and improve patients' quality of life.
    Read more Read less
    More information

    Showing 1-5 of 5 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback