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Geometric methods in statistics

Geometric methods in statistics
统计学中的几何方法
批准号:
311995-2008
负责人:
Marriott, Paul
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
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英文摘要
A great deal of work that is done by statisticians exploits the idea of a statistical model. Such a model enables analysts to, amongst other things, quantify their uncertainty about the numerical value of a real world phenomenon, make predictions of events in the future and to test scientific hypotheses. The model itself though is just a tool and like any other needs to be selected with care. The objective of the research is to find ways of evaluating the effect of the choice of a particular model in a given problem. Somewhat surprisingly it turns out that tools from the world of geometry are very useful in this assessment. The project will develop these geometrically based tools in ways that the working statistician will be able to exploit.
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Computational Information Geometry/Neuroinformatics
  • 批准号:
    RGPIN-2020-04015
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2022
  • 负责人:
    Marriott, Paul
  • 依托单位:
Computational Information Geometry/Neuroinformatics
  • 批准号:
    RGPIN-2020-04015
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2021
  • 负责人:
    Marriott, Paul
  • 依托单位:
Computational Information Geometry/Neuroinformatics
  • 批准号:
    RGPIN-2020-04015
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2020
  • 负责人:
    Marriott, Paul
  • 依托单位:
Computational Information Geometry and Model Uncertainty/Neuro-informatics
  • 批准号:
    RGPIN-2014-05424
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2019
  • 负责人:
    Marriott, Paul
  • 依托单位:
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