Doing Bayesian Statistics Better: an Inter-Disciplinary Perspective for Improving Models, Priors, Design and Applications

更好地进行贝叶斯统计：改进模型、先验、设计和应用的跨学科视角

• 批准号: DP0667168
• 负责人: Prof Kerrie Mengersen
• 金额: $ 18.36万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0667168
• 关键词: Doing; Bayesian; Statistics; Better; Inter

Through improving methods for data analysis and design, this project increases the capability of individuals, communities and governments to make correct decisions based on data, leading to immeasurable human, social and financial benefits. It will also directly enhance Australia's international research reputation, promote inter-disciplinary links, promote research by women in a non-traditional area, keep intellectual property within Australia, train quality undergraduates and postgraduates, and contribute to public good through its focus on applications in key national priorities: health, environment and genetics.

通过改进数据分析和设计方法，该项目提高了个人、社区和政府根据数据做出正确决策的能力，从而带来不可估量的人类、社会和经济效益。它还将直接提高澳大利亚的国际研究声誉，促进跨学科联系，促进女性在非传统领域的研究，将知识产权保留在澳大利亚境内，培养高质量的本科生和研究生，并通过专注于以下领域的应用为公共利益做出贡献：国家重点优先事项：健康、环境和遗传学。