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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100008
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Laser microdissection microscopy system for cell and development biology. The University of Newcastle has invested heavily in its biological and life sciences to create a research nexus focusing on national research priorities in biotechnology and environmental protection. The live cell laser microdissection platform will be utilised by scientists researching such strategically important areas as developmental biology, intracellular signalling cascades, cell cycle dynamics, plant development and ....Laser microdissection microscopy system for cell and development biology. The University of Newcastle has invested heavily in its biological and life sciences to create a research nexus focusing on national research priorities in biotechnology and environmental protection. The live cell laser microdissection platform will be utilised by scientists researching such strategically important areas as developmental biology, intracellular signalling cascades, cell cycle dynamics, plant development and microbiology. Moreover, this component of the University's research portfolio plays a major role in the postgraduate training of young Australian scientists who will, in turn, fuel future developments in both the life sciences and biotechnology industries.Read moreRead less
Computer simulation techniques to reduce the incidence of femoral fracture after hip replacement surgery. Australia's ageing population is driving an increase of 5% to 10% a year in the number of primary total hip replacements. We will move beyond conventional surgical techniques, to deliver the science for an accurate, reliable computer-based system that is significantly more accurate and reliable. Optimising implant selection criteria to better match patients' activity levels and bone physiolo ....Computer simulation techniques to reduce the incidence of femoral fracture after hip replacement surgery. Australia's ageing population is driving an increase of 5% to 10% a year in the number of primary total hip replacements. We will move beyond conventional surgical techniques, to deliver the science for an accurate, reliable computer-based system that is significantly more accurate and reliable. Optimising implant selection criteria to better match patients' activity levels and bone physiology and minimise revision rates; this has major implications for the national health budget and patients' quality of life. Our advances will allow the implementation of improved surgical techniques that minimise the risk of implant related bone failure.Read moreRead less
Parameterized Algorithm Design and Complexity Analysis: New Methods and Strategic Applications in the FPT Algorithmic Server Project. A fundamental discovery of the first decades of computer science is that completely efficient (polynomial time) algorithms probably do not exist for thousands of natural computational problems. The project will result in new methods for designing and analyzing algorithms for hard problems with natural parameters, and in improved
algorithms for these problems.