课题基金 / 基金详情

Novel methodology advancing applied Bayesian statistics and applications

Novel methodology advancing applied Bayesian statistics and applications
推进应用贝叶斯统计和应用的新方法
批准号:
DP110100159
负责人:
Prof Anthony Pettitt
金额:
$33.77万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2011
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2011-01-01 至 2016-06-30

项目摘要

项目成果

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中文摘要
翻译
贝叶斯统计推断已成为重要应用领域中占主导地位的统计方法。该项目旨在开发和应用新的贝叶斯计算算法。研究成果将促进对传染病、神经系统疾病和人类行为等重要多学科领域的科学理解。
英文摘要
Bayesian statistical inference has become the dominant statistical method in significant areas of application. The project aims to develop and apply novel Bayesian computational algorithms. Outcomes will advance scientific understanding in significant multi-disciplinary areas such as infectious diseases, neurological disease and human behaviour.
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会议论文
Innovating optimal experimental design through Bayesian statistics
  • 批准号:
    DP120100269
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $19.37万
  • 财政年份:
    2012
  • 负责人:
    Prof Anthony Pettitt
  • 依托单位:
Innovative Bayesian statistics for enhanced decision making for pharmaceutical drug development
  • 批准号:
    LP0991062
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $24.32万
  • 财政年份:
    2010
  • 负责人:
    Prof Anthony Pettitt
  • 依托单位:
Novel Applied Bayesian Statistics for Monitoring Neuromuscular Diseases
  • 批准号:
    DP0877624
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $15.1万
  • 财政年份:
    2008
  • 负责人:
    Prof Anthony Pettitt
  • 依托单位:
Novel statistical analysis for traffic modelling
  • 批准号:
    LP0669500
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $15.76万
  • 财政年份:
    2006
  • 负责人:
    Prof Anthony Pettitt
  • 依托单位:
国内基金
海外基金
基于成份法的致洪暴雨过程组织化深厚湿对流机理研究