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
Research Topic : statistical methods
Australian State/Territory : ACT
Scheme : ARC Future Fellowships
Clear All
Filter by Field of Research
Algebra and Number Theory (1)
Applied Mathematics (1)
Approximation Theory and Asymptotic Methods (1)
Biological Physics (1)
Category Theory, K Theory, Homological Algebra (1)
Condensed Matter Imaging (1)
Condensed Matter Physics (1)
Econometric and Statistical Methods (1)
Econometrics (1)
Industry Economics and Industrial Organisation (1)
Mathematical Economics (1)
Numerical Analysis (1)
Optimisation (1)
Pure Mathematics (1)
Quantum Optics (1)
Statistical Mechanics, Physical Combinatorics and Mathematical Aspects of Condensed Matter (1)
Filter by Socio-Economic Objective
Expanding Knowledge in the Mathematical Sciences (2)
Diagnostic Methods (1)
Expanding Knowledge in Economics (1)
Expanding Knowledge in Technology (1)
Expanding Knowledge in the Physical Sciences (1)
Industry Policy (1)
Preference, Behaviour and Welfare (1)
Filter by Funding Provider
Australian Research Council (4)
Filter by Status
Active (3)
Closed (1)
Filter by Scheme
ARC Future Fellowships (4)
Filter by Country
Australia (4)
Filter by Australian State/Territory
ACT (4)
  • Researchers (16)
  • Funded Activities (4)
  • Organisations (2)
  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100632

    Funder
    Australian Research Council
    Funding Amount
    $857,585.00
    Summary
    Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine th .... Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine the reliability of their analysis. This project will develop statistical and computational methods to better understand observed economic behaviour. By allowing the effects of proposed economic interventions and regulations ex ante, this project will support the development of more efficient and better-targeted policies in every area of the economy.
    Read more Read less
    More information
    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT170100231

    Funder
    Australian Research Council
    Funding Amount
    $800,000.00
    Summary
    Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to devel .... Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to develop purely data-driven rules to choose the regularisation parameter and show how they work in theory, and in practice. It will also develop convex framework, acceleration strategies as well as preconditioning and splitting ideas to design efficient regularisation solvers.
    Read more Read less
    More information
    Funded Activity

    ARC Future Fellowships - Grant ID: FT170100019

    Funder
    Australian Research Council
    Funding Amount
    $950,837.00
    Summary
    Quantum symmetries: mathematical models for topological matter. This project aims to investigate quantum symmetries, new mathematical objects which allow an algebraic description of topological phases of matter. The project expects to bridge the current gap between our mathematical and physical understandings of these topological phases of matter. The project will develop innovative tools for analysing and constructing new exotic symmetries, and provide an extensive survey of examples. It is exp .... Quantum symmetries: mathematical models for topological matter. This project aims to investigate quantum symmetries, new mathematical objects which allow an algebraic description of topological phases of matter. The project expects to bridge the current gap between our mathematical and physical understandings of these topological phases of matter. The project will develop innovative tools for analysing and constructing new exotic symmetries, and provide an extensive survey of examples. It is expected to build national research capacity in an emerging field and put Australia at the forefront of the mathematics of topological matter.
    Read more Read less
    More information
    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100100

    Funder
    Australian Research Council
    Funding Amount
    $728,125.00
    Summary
    Single spin molecular microscope. This project aims to create a new tool for imaging and analysing material at the atomic level. The tool is based on individual quantum coherent spins in diamond which can be manipulated and optically read. The project expects to generate knowledge in quantum metrology and an understanding of molecular dynamics at the nanoscale. The expected outcome is a new type of device capable of imaging complex physical systems at the level of their individual constituent co .... Single spin molecular microscope. This project aims to create a new tool for imaging and analysing material at the atomic level. The tool is based on individual quantum coherent spins in diamond which can be manipulated and optically read. The project expects to generate knowledge in quantum metrology and an understanding of molecular dynamics at the nanoscale. The expected outcome is a new type of device capable of imaging complex physical systems at the level of their individual constituent components. This has significant benefits in improving designer materials, energy production, information storage, and drug design.
    Read more Read less
    More information

    Showing 1-4 of 4 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