Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and t ....Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and the analysis of gene expression data. The project will also train doctoral and postdoctoral students and enhance Australia's reputation for research excellence in the Statistical and Mathematical Sciences. Read moreRead less
Saddlepoint approximation, likelihood analysis and ancestral graphs for strong and weak natural selection, genetic drift and population subdivision. Building new research strength in theoretical population genetics and related statistical techniques will enhance Australia's capability in harnessing the power of post-genomic information. Sophisticated statistical techniques that make smart use of genetic data are being developed in this project. The extent to which natural selection and migrati ....Saddlepoint approximation, likelihood analysis and ancestral graphs for strong and weak natural selection, genetic drift and population subdivision. Building new research strength in theoretical population genetics and related statistical techniques will enhance Australia's capability in harnessing the power of post-genomic information. Sophisticated statistical techniques that make smart use of genetic data are being developed in this project. The extent to which natural selection and migration affect current genetic polymorphism on a population level can be quantified using these new methods. New modeling provides a rigorous foundation with which to construct inference techniques currently beyond computational approaches to the data. Assessing selective effects on genetic mutations associated with human disease will be a consequence of this new statistical methodology.Read moreRead less
Theory and Applications of Computer-Intensive Statistical Methods. The availability of powerful computing equipment has had a dramatic impact on statistical methods and thinking. It has motivated development of novel approaches to data analysis, whose conception
and appreciation, even their application, often demand sophisticated and complex theoretical methods. In this context, the project will develop new approaches to solving non-standard statistical problems. These techniques will eithe ....Theory and Applications of Computer-Intensive Statistical Methods. The availability of powerful computing equipment has had a dramatic impact on statistical methods and thinking. It has motivated development of novel approaches to data analysis, whose conception
and appreciation, even their application, often demand sophisticated and complex theoretical methods. In this context, the project will develop new approaches to solving non-standard statistical problems. These techniques will either have direct application to solving practical problems of national or community concern, or provide a better understanding of the nature of such problems.Read moreRead less
New and computationally feasible methods of constructing efficient and exact confidence limits from count data. Biological and health science data is commonly in the form of counts. The statistical analysis of such data should be (a) efficient i.e. it should not, in effect, throw away valuable data, (b) exact i.e. it should have precisely known statistical properties and (c) computationally feasible. Kabaila and Lloyd (1997-2001) have proposed and analysed a radically new method of confidence li ....New and computationally feasible methods of constructing efficient and exact confidence limits from count data. Biological and health science data is commonly in the form of counts. The statistical analysis of such data should be (a) efficient i.e. it should not, in effect, throw away valuable data, (b) exact i.e. it should have precisely known statistical properties and (c) computationally feasible. Kabaila and Lloyd (1997-2001) have proposed and analysed a radically new method of confidence limit construction which, for the first time, possesses all of these requirements. The purpose of the project is to establish further theoretical support for the new method, to develop efficient computational algorithms and to write easy-to-use computer programs for its practical use.Read moreRead less
Special Research Initiatives - Grant ID: SR0354716
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainabilit ....Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainability of the earth - oceans, atmosphere, biosphere, CO2-free energy production, space and solar environment. The network would facilitate the development of young investigators and be linked into wider complex systems networks such as the CSIRO Centre for Complex Systems Science.Read moreRead less
Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Au ....Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Australia's reputation as a strong contributor to the development of Bayesian methodologies. Two PhD students will also be provided training in computational Bayesian statistics.Read moreRead less
Novel methods for detecting changes in soft tissue microstructure and biomechanical properties using multi-modality MR imaging. This project will lead to novel methods for studying the internal structure of the soft tissues of the body, such as muscles and brain tissue, and how this is affected by mechanical loading and disease states. The project will thoroughly validate these new methods. This will not only provide new techniques for research use, but lead to improved diagnostic techniques in ....Novel methods for detecting changes in soft tissue microstructure and biomechanical properties using multi-modality MR imaging. This project will lead to novel methods for studying the internal structure of the soft tissues of the body, such as muscles and brain tissue, and how this is affected by mechanical loading and disease states. The project will thoroughly validate these new methods. This will not only provide new techniques for research use, but lead to improved diagnostic techniques in the future.Read moreRead less
Designing microarray experiments. Microarrays are powerful tools for surveying the expression levels of many thousands of genes simultaneously. They belong to the new genomics technologies which have important applications in the biological, pharmaceutical and agricultural sciences. There are many sources of uncertainty in microarray experimentation and good statistical designs are essential for ensuring that the effects of interest to scientists are accurately and precisely measured. This Pr ....Designing microarray experiments. Microarrays are powerful tools for surveying the expression levels of many thousands of genes simultaneously. They belong to the new genomics technologies which have important applications in the biological, pharmaceutical and agricultural sciences. There are many sources of uncertainty in microarray experimentation and good statistical designs are essential for ensuring that the effects of interest to scientists are accurately and precisely measured. This Project will develop novel designs for microarray experiments and focus on the advancement of topics crucial to Australia's success in technological research.
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Rapid Development of Biocompatible Stent Grafts for Aortic Aneurysms. Weakening of the aorta may cause an aneurysm. The present technique of its treatment involves replacing the weakened portion of the aorta with a synthetic graft. Failure of this treatment often occurs due to non-compatibility of the stent graft with natural aorta. One possible reason for this is a mismatch between elastic natural aorta and the non-elastic artificial graft. The core component of our project is the selection and ....Rapid Development of Biocompatible Stent Grafts for Aortic Aneurysms. Weakening of the aorta may cause an aneurysm. The present technique of its treatment involves replacing the weakened portion of the aorta with a synthetic graft. Failure of this treatment often occurs due to non-compatibility of the stent graft with natural aorta. One possible reason for this is a mismatch between elastic natural aorta and the non-elastic artificial graft. The core component of our project is the selection and development of a suitable biomaterial and optimization of the stent design based on hemodynamics flow analysis and its fabrication with the Fused Deposition Modelling (FDM) process.Read moreRead less
In Vitro Study of Hemodynamic Stresses and Endothelialization of Artificial Coronary Arteries. Restenosis (recurrence of the disease) is a major problem in the case of patients undergoing artificial artery by-pass surgery. Ideally the design for manufacturing the scaffold for cell adhesion of the artery should factor in hemodynamic forces and optimised geometry to withstand the hemodynamic stresses and other forces. This project aims to investigate the material for manufacturing the artificial a ....In Vitro Study of Hemodynamic Stresses and Endothelialization of Artificial Coronary Arteries. Restenosis (recurrence of the disease) is a major problem in the case of patients undergoing artificial artery by-pass surgery. Ideally the design for manufacturing the scaffold for cell adhesion of the artery should factor in hemodynamic forces and optimised geometry to withstand the hemodynamic stresses and other forces. This project aims to investigate the material for manufacturing the artificial artery using Fused Deposition Modeling and to develop methods for the establishment of endothelium on the artificial artery, concluding a restenosis-free solution for by-pass surgery. The knowledge gained through this work would be applicable to the design of other prosthetic devices.Read moreRead less