Bayesian Data Assimilation in Very High-Dimensions

在过去的十年中，随着数据收集的数量和质量的巨大提高，统计科学已经成为社会许多领域创新的焦点。随着数据可用性的发展，更高维度的统计挑战变得更加突出。因此，我提出了一个与Singh博士的研究项目相一致的项目，研究如何建立动态模型，以模拟这些模型并评估预测的可靠性。

With the vast improvements in quantity and quality of data collection over the past decade, statistical science has become a focal point of innovation in so many areas of society. With these developments in data availability, statistical challenges in higher dimensions have become ever more prominent. I therefore propose a project in line with Dr Singh's studentship researching how to build dynamical models with the aim of simulating these models forward and assessing the reliability of the forward projections.