Bayesian Data Assimilation in Very High-Dimensions

随着过去十年来数据收集在数量和质量上的巨大改进，统计科学已经成为社会许多领域的创新焦点。随着数据可获得性的这些发展，更高维度的统计挑战变得更加突出。因此，我提出了一个与辛格博士的学识相符的项目，研究如何建立动力学模型，目的是向前模拟这些模型，并评估向前预测的可靠性。

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.