Advances in biodiversity modelling - analysis of high-dimensional counts

其目的是开发灵活的模型，用于分析高维计数数据，特别是用于研究物种相互作用和社区对环境因素的反应。这个项目是重要的，因为越来越多的重要的研究问题，回答使用数据与许多响应变量，特别需要研究生态群落及其对环境影响的反应。该项目旨在开发第一个模型，可直接用于为常见的生态数据类型得出有效的社区一级结论。预期的结果是一个强大的工具集，完全基于模型的推理，从高维计数，引入现代方法的高影响生态领域。

The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental impacts. This project aims to develop the first models that can be used directly to draw valid community-level conclusions for common ecological data types. The expected outcome is a powerful toolset for fully model-based inference from high-dimensional counts, introducing modern approaches to a high-impact area of ecology.