Advances in statistical methods for analysing high dimensional count data

该项目将为未来全球生态社区研究奠定方法学基础：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，如土地使用，野生动物或气候变化。该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，更灵活，并且能够研究一些难以或无法使用现有方法回答的研究问题（例如，了解社区一级的高阶相互作用）。 未来的生物统计学家将接受培训，部分解决我们国家严重短缺的问题。

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.