Frontiers in Data Science: Analysing Distributions as Data

该项目旨在为分析大型和复杂数据的新方法奠定统计学基础，其基础是建立数据的分布近似值，然后可用标准统计方法进行分析。分析非常庞大和复杂的数据集的必要性已成为日常生活的重要组成部分，特别是在分析公共卫生、环境污染、计算机网络安全和极端气候等国家问题时。该项目希望改变我们的思维方式，如何更聪明地决定我们使用(和收集)什么数据进行分析，而不是依赖于对大型数据集的蛮力分析。该项目预计将改变该学科的知识基础，由此产生的技术将使许多行业和学科的研究取得全面进步。

This project aims to develop the statistical foundations of a new approach to analysing large and complex data, based on building distributional approximations of the data, which can then be analysed by standard statistical methods. The need to analyse very large and complex datasets has become a vital part of everyday life, particularly in the analysis of national problems in public health, environmental pollution, computer network security and climate extremes. The project expects to change our way of thinking in how to be smarter about what data we use (and collect) for analysis, rather than relying on brute force analysis of large datasets. The project is expected to transform the knowledge base of the discipline, and the resulting techniques will enable across-the-board research advances for many industries and disciplines.