Advances in statistical methods for analysing high dimensional count data

分析高维计数数据的统计方法的进展

• 批准号: DP0987729
• 负责人: Prof David Warton
• 金额: $ 19.55万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0987729
• 关键词: Advances; statistical; methods; analysing; dimensional

This project will lay the methodological foundations for future studies of ecological communities world-wide: whether studying biodiversity; monitoring and testing for an environmental impact of human activities (such as mining or pollution); studying drivers of ecosystem change such as land use, feral animals or climate change. This project will develop and make available new analysis methods that are more readily interpreted, more powerful and more flexible, and that enable the study of some research questions which are difficult or impossible to answer using current methods (e.g. understanding higher-order interactions at the community level). Future biostatisticians will be trained, partly addressing our critical national shortage.

该项目将为今后对全世界生态群落的研究奠定方法论基础：无论是研究生物多样性；监测和测试人类活动(如采矿或污染)对环境的影响；研究生态系统变化的驱动因素，如土地利用、野生动物或气候变化。这个项目将开发和提供新的分析方法，这些方法更容易解释，更强大和更灵活，能够研究一些用现有方法很难或不可能回答的研究问题(例如，了解社区一级的更高级别的相互作用)。未来的生物统计学家将得到培训，在一定程度上解决我们严重的国家短缺问题。