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Australian State/Territory : QLD
Research Topic : STATISTICAL MODELS
Scheme : Discovery Projects
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP180101192

    Funder
    Australian Research Council
    Funding Amount
    $342,194.00
    Summary
    Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat .... Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.
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    Funded Activity

    Discovery Projects - Grant ID: DP170101722

    Funder
    Australian Research Council
    Funding Amount
    $374,500.00
    Summary
    The effect of native invasions on Australian fisheries species. This project aims to forecast climate-related changes in the diversity, distribution and abundance of fisheries species. In a changing world where many people depend on oceans for food and livelihood, predicting the future distribution of fisheries species is a challenge. Native invasions and ocean warming are stressing inshore fisheries species, but rigorous empirical data and models that can reliably forecast these effects are lac .... The effect of native invasions on Australian fisheries species. This project aims to forecast climate-related changes in the diversity, distribution and abundance of fisheries species. In a changing world where many people depend on oceans for food and livelihood, predicting the future distribution of fisheries species is a challenge. Native invasions and ocean warming are stressing inshore fisheries species, but rigorous empirical data and models that can reliably forecast these effects are lacking. This project intends to reveal the drivers of successful native invasions, evaluate their effect on fish diversity and productivity, and develop holistic models that forecast their effects on inshore fisheries species’ near-future distribution and stocks.
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