Reimagining the Australian Suburb: Biodiversity planning in urban fringe landscapes. Over 40% of nationally listed threatened ecological communities occur in urban areas. Accelerating urbanisation in Australia is considered one of the greatest threats to biodiversity. This threat will increase without a more strategic approach to conservation planning in urban environments. Protection of biodiversity in urban areas brings numerous societal benefits but involves complicated tradeoffs between com ....Reimagining the Australian Suburb: Biodiversity planning in urban fringe landscapes. Over 40% of nationally listed threatened ecological communities occur in urban areas. Accelerating urbanisation in Australia is considered one of the greatest threats to biodiversity. This threat will increase without a more strategic approach to conservation planning in urban environments. Protection of biodiversity in urban areas brings numerous societal benefits but involves complicated tradeoffs between competing land uses including housing development, agricultural production and conservation. This project builds on recent advancements in ecological modelling and mathematical optimisation to develop and test tools to facilitate transparent decisions based on optimal trade-offs between competing values. It will result in a more strategic approach to planning conservation in urban environments.Read moreRead less
Practical, powerful and cost effective indicators of sustainable forest management for the conservation of biological diversity. Much debate about appropriate use of Australia's forests stems from uncertainty about the magnitude of impacts on abundances and distributions of forest-dependent species, a key indicator of sustainable management under the Montreal Process. An opportunity exists to develop new tools to substantially improve our ability to detect and assess change. This project will de ....Practical, powerful and cost effective indicators of sustainable forest management for the conservation of biological diversity. Much debate about appropriate use of Australia's forests stems from uncertainty about the magnitude of impacts on abundances and distributions of forest-dependent species, a key indicator of sustainable management under the Montreal Process. An opportunity exists to develop new tools to substantially improve our ability to detect and assess change. This project will develop optimal monitoring design and analysis strategies for detecting population trends against a background of natural fluctuation and observation error. It will result in templates for coherent reporting on indicators at regional and national levels. It will exploit recent findings regarding observation error in surveys, advances in statistical control processes, simulation methods, and power analysis to develop a world-class species monitoring system.Read moreRead less
Web Services Reputation Management. This project directly supports the National Research Priority 4: Safeguarding Australia. More specifically, it aims at creating mechanisms that will make it more difficult to use the Internet as a platform for launching attacks against the business processes of Australian organisations that provide and consume Web services. At the same time this will stimulate the establishment of high quality WS markets. As direct social benefit of this research, Australian o ....Web Services Reputation Management. This project directly supports the National Research Priority 4: Safeguarding Australia. More specifically, it aims at creating mechanisms that will make it more difficult to use the Internet as a platform for launching attacks against the business processes of Australian organisations that provide and consume Web services. At the same time this will stimulate the establishment of high quality WS markets. As direct social benefit of this research, Australian organisations will be able to integrate the best quality Web services as part of their business processes, and thereby avoid being negatively impacted by low quality and deceptive Web services. Read moreRead less
Stein's method for probability approximation. Data of counts in time, such as incoming calls in telecommunications and the clusters of palindromes in a family of herpes-virus genomes, arise in an extraordinarily diverse range of fields from science to business. These problems can be modelled by sums of random variables taking values 0 and 1 in probability theory, thus permitting approximate calculations which are often good enough in practice. This project will obtain such approximate solutions ....Stein's method for probability approximation. Data of counts in time, such as incoming calls in telecommunications and the clusters of palindromes in a family of herpes-virus genomes, arise in an extraordinarily diverse range of fields from science to business. These problems can be modelled by sums of random variables taking values 0 and 1 in probability theory, thus permitting approximate calculations which are often good enough in practice. This project will obtain such approximate solutions and estimate the errors involved. Applications include analysis of data in insurance, finance, flood prediction in hydrology.Read moreRead less
Special Research Initiatives - Grant ID: SR0354895
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statist ....Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statistics, actuarial science, financial mathematics, market micro-structure, accounting and information systems. FIRN will be supported by SIRCA's world-class financial research infrastructure and industry network. It will deliver a range of innovative research, educational, professional development and applied outcomes.Read moreRead less
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.
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New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticip ....New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticipated outcomes of this project will be detailed knowledge of extremal behaviour in portfolios, improved methods for calibrating risk, advances in non-parametric methods in finance, a prototype practitioner toolkit for assessing risk, and high-calibre graduates to contribute to Australia's research capacity.Read moreRead less
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.Read moreRead less
The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the ....The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the AGB and the study of the optical noise in LIGO and Advanced LIGO type systems. In particular we plan to search for anomalous noise sources and, especially those arising in high optical power cavities that could limit detection of the AGB.Read moreRead less
Dynamic Asset Pricing and Portfolio Decision Rules under Heterogeneous Expectations and Adaptive Learning. The outcomes of this project will provide two benefits to Australian financial market researchers in academe, in industry and financial market regulators. First, a better theoretical and empirical foundation for understanding and analysing optimal portfolio decision rules in a setting that captures many realistic features of market behaviour such as heterogeneity of investor types and adapt ....Dynamic Asset Pricing and Portfolio Decision Rules under Heterogeneous Expectations and Adaptive Learning. The outcomes of this project will provide two benefits to Australian financial market researchers in academe, in industry and financial market regulators. First, a better theoretical and empirical foundation for understanding and analysing optimal portfolio decision rules in a setting that captures many realistic features of market behaviour such as heterogeneity of investor types and adaptive behaviour by market participants. Second, new tools to more effectively understand and manage portfolio risk in financial markets. Consequently Australia will have a more efficient and competitive financial system. It also has the potential to lead to the development of more finance related industries such as financial market software.Read moreRead less