Reliable and accurate statistical solutions for modern complex data

该项目旨在开发新的方法，利用现代的、复杂的、相关的和容易出错的数据进行可靠和准确的统计建模。该项目预计将在面向未来的统计数据分析方面取得重大进展，为从业人员配备一套稳健和计算效率高的方法，使他们对所获得的结果的稳定性和再现性充满信心，同时保证其在一系列人群中的可转移性。这将提供重要的好处，因为它们被应用于预测渔业养护的濒危海洋物种，并加强我们国家对教育成就和经济成功之间关系的理解。

This project aims to develop novel methods for reliable and accurate statistical modelling with modern, complex correlated and error-prone data. The project expects to make significant strides towards future-proofing statistical data analysis, equipping practitioners with a suite of robust and computationally efficient methods which provide confidence in the stability and reproducibility of results obtained, while offering guarantees on their transferability over a range of populations. This will provide important benefits as they are applied in predicting endangered marine species for fisheries conservation, and in enhancing our national understanding of the relationship between education achievement and financial success.