Network on Computational Statistics and Machine Learning

该网络的目的是通过促进英国计算统计学（CompStat）和机器学习（ML）学科之间的交流、交流和合作，使英国成为计算统计学和机器学习（CompStat & ML）联合领域的世界领先权威。英国拥有强大的研究实力和深度，在计算统计和机器学习的各个领域都被公认为世界领先。尽管这些研究领域中的每一个都在很大程度上独立发展，并有自己独立的期刊、国际学会、会议和课程，但这两个研究领域都有一个共同的理论基础，即基于数学统计和统计推断的基本形式原则。因此，在这两个学科之间，概念、研究和个人的传播是自然的。该网络将寻求正规化并加强这种交流，并在此过程中利用CompStat和ML合并和共享的研究议程所产生的重要协同效应。

The aim of this network is to establish the UK as the world leading authority in the joint area of Computational Statistics and Machine Learning (CompStat & ML) by advancing communication, interchange and collaboration within the UK between the disciplines of Computational Statistics (CompStat) and Machine Learning (ML).The UK has tremendous research strength and depth that is widely acknowledged as world leading in both the individual areas of Computational Statistics and Machine Learning. Despite each of these fields of research developing, largely, independently and having their own separate journals, international societies, conferences and curricula both areas of investigation share a common theoretical foundation based on the underlying formal principles of mathematical statistics and statistical inference. As such there is a natural diffusion of concepts, research and individuals between both disciplines. This network will seek to formalise as well as enhance this interchange and in the process capitalise on important synergies that will emerge from the combined and shared research agendas of CompStat & ML.