The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the h ....The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the household structure and other groups and social networks. The improved ability to assess the impact of these factors will have economic and social benefits. These benefits will arise from improved analysis leading to better decisions and improvements in the design of research studies improving their cost efficiency.Read moreRead less
Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and all ....Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and allow us to compare and test several competing theories of choice behaviour. This will enable us to make contributions to understanding and modelling human decision making in many fields ranging from marketing to medicine.Read moreRead less
Market segmentation methodology: attacking the 'Too Hard' basket. Businesses embrace market segmentation to identify and target clients. However, poor segmentation analysis leads to poor segment choice. This project will develop tools to improve segmentation analysis and will test the resulting tools in tourism, foster care and climate change mitigating behaviours, and produce usable, transferable recommendations.
Response style heterogeneity in empirical marketing research. This study aims to improve the validity of empirical studies by accounting for different ways in which respondents answer questionnaires (response styles) while analysing the data. Response styles have been shown to depend on the cultural background of respondents. This work therefore is of particular importance in Australia given the large number of cultural backgrounds residents come from. The proposed method will be empirically tes ....Response style heterogeneity in empirical marketing research. This study aims to improve the validity of empirical studies by accounting for different ways in which respondents answer questionnaires (response styles) while analysing the data. Response styles have been shown to depend on the cultural background of respondents. This work therefore is of particular importance in Australia given the large number of cultural backgrounds residents come from. The proposed method will be empirically tested in the context of surveys investigating sustainable tourism, public acceptance of alternative water sources and volunteering, three areas which are central to maintaining Australia's environmental sustainability and providing social and environmental services which are not covered by the commercial sector.Read moreRead less
Generalised Linear Mixed Models: Theory, Methods and New Areas of Application. This project will aid the analysis of complex data sets throughout Australia. The ensuing methodology and software products will be applicable to data arising from longitudinal and geo-referenced public health and biomedical studies being conducted in Australia. It will also aid analysis of complex survey data from the Australian Bureau of Statistics and other agencies. Part of this project is geared towards smart inf ....Generalised Linear Mixed Models: Theory, Methods and New Areas of Application. This project will aid the analysis of complex data sets throughout Australia. The ensuing methodology and software products will be applicable to data arising from longitudinal and geo-referenced public health and biomedical studies being conducted in Australia. It will also aid analysis of complex survey data from the Australian Bureau of Statistics and other agencies. Part of this project is geared towards smart information use in Australian industries and will help foster collaboration between mathematical scientists and members of the Australian business sector. Cancer research in Australia will also benefit from this project.Read moreRead less
Advanced issues in market segmentation research. We will investigate unresolved questions in market segmentation research that will provide answers to the following questions as outcome:
- How to pre-assess market segmentation data structure.
- How to improve the partitioning.
- How to visualize and present the resulting segmentation solutions.
- How to generalize the outcomes over multiple periods of time.
These tasks represent fundamental methodological research. The scientific significan ....Advanced issues in market segmentation research. We will investigate unresolved questions in market segmentation research that will provide answers to the following questions as outcome:
- How to pre-assess market segmentation data structure.
- How to improve the partitioning.
- How to visualize and present the resulting segmentation solutions.
- How to generalize the outcomes over multiple periods of time.
These tasks represent fundamental methodological research. The scientific significance consequently lies in knowledge development and methodological improvement. Findings will also enable both academic researchers using market segmentation methodology as well as practitioners applying such techniques to significantly improve the quality of their market structure analyses.Read moreRead less
Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less