Statistical Computing Section
The Statistical Computing Section supports interest in all aspects of the use of computational science and technology in modern statistical analysis. We are interested in the fundamental design of software and systems for statistical computing and in the computational issues that are an essential part of modern statistics and data science. Competent statisticians and practitioners must understand the principles on which statistical methods work and be able to implement them in ways that are safe, transparent, reproducible and scale well with large and complex data sets.
Computational issues are an essential part of modern statistics, data analysis and data mining. Statisticians and practitioners must not just understand the principles on which statistical methods work but also be able to implement them on computers in ways that are transparent, require minimal user intervention and scale well with large data sets. The section is also interested in the fundamental design of software and systems for statistical computing.
- Act as national focus for statisticians involved in theoretical and practical issues of computational statistics.
- To foster interaction between the statistical and other related communities, e.g. information engineering, computer science.
- Promote dissemination in other data-intensive scientific communities.
- Organise meetings for the promotion and dissemination of computational statistics research and developments.
- Promoting quality and standards in the design and development of computing systems that support the work of statisticians, both systems and packages for statistical analysis and systems and packages for the processing and documentation of statistical data.
Chair: Theo Kypraios (Discussion meetings representative)
Vice chair: Chris Nemeth
Secretary: Trevor Ringrose (Publications network representative)
Meetings secretary: Paul Taylor
View our events calendar: statslife.org.uk/statistical-computing-section
The Computational Statistics and Machine Learning (CSML) network is part of the Statistical Computing Section of the RSS, with a focus on supporting and developing the UK's significant strength in CSML. The group organises training and development opportunities for researchers working in the joint area of CSML, as well as highlighting internationally recognised research activity for exploitation within industry, policy making and other scientific research domains.
Forum: CSML Network
Annual Report 2018