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Statistical methods for quantifying variation in spatiotemporal areal data

Statistical methods for quantifying variation in spatiotemporal areal data
量化时空区域数据变化的统计方法
批准号:
LP200100468
负责人:
Prof Kerrie Mengersen
金额:
$41.01万
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2021
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2021-08-01 至 2024-07-01

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中文摘要
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英文摘要
This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time.
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Revolutionising water-quality monitoring in the information age
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    LP180101151
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2019
  • 负责人:
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Bayesian learning for decision making in the big data era
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  • 项目类别:
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  • 财政年份:
    2015
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    Prof Kerrie Mengersen
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New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges
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    DP140103564
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    2014
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Projection of the impact of climate change on the transmission of Ross River virus disease
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    nhmrc : 1011459
  • 项目类别:
    NHMRC Project Grants
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  • 财政年份:
    2011
  • 负责人:
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国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data