SuSTaIn - Statistics underpinning Science, Technology and Industry

SuSTaIn - 支持科学、技术和工业的统计

• 批准号: EP/D063485/1
• 负责人: Peter Green
• 金额: $ 520.77万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD063485%2F1
• 关键词: SuSTaIn; Statistics; underpinning; Science; Technology

Our judgment, and that of the recent International Review of UK Mathematics Research (IRM), is that significant capability in theoretical and mathematical statistics is small and in decline in the UK. This decline needs to be halted and reversed. Now is the time.SuSTaIn will be a centre that conducts and disseminates top-rank research in mathematical statistics, and implants it into the discipline of statistics in the UK. We will nurture SuSTaIn to build a strong capability in mathematical statistics within the supportive environment of the Statistics Group at Bristol University. The main pillars of our proposal are to (i) hire a strong dynamic team consisting of a Professor, and four early- to mid-career researchers as lecturers (ii) attract a number of postdoctoral fellows of outstanding potential onto a rolling programme where they are free to forge and develop the latest ideas in mathematical statistics, (iii) initiate a comprehensive 4-year MRes/PhD research training programme, (iv) conduct numerous activities (including kick-starting a major UK conference series in mathematical statistics ) to promote our vision for the discipline, and encourage its wider adoption in the UK.Bristol University is committed to strong financial and material support for this development, to enable this bid to succeed and the initiative to flourish, beyond the initial period of EPSRC/HEFCE funding.SuSTaIn is both about immediate initiation of advanced research in mathematical statistics generating a step change in UK activity and helping to ensure the future by the nurturing of staff and graduate students early on in their career. Bristol University's Statistics Group has a well-recognized reputation for research excellence in mathematical statistics and for providing an exciting and supportive environment. Both the excellence and the environment have contributed to the Group's success in attracting outstanding international researchers in the face of national recruitment difficulties.Mathematical statistics for the new century will thrive and develop a symbiotic relationship with the existing methodological focus of the Group. SuSTaIn will reach out to a wide range of collaborative ventures, making use of existing proven links as well as forging innovative new connections within a strong and diverse University. It will strengthen UK Statistics nationally and address global concerns arising from the `data revolution'. SuSTaIn will stimulate knowledge exchange both to and from Mathematics (on the theoretical side) and plug-in to the existing methodological Group which itself has established knowledge transfer routes to key scientific and engineering areas, for example, bioinformatics, data fusion and quantum information.

我们的判断，以及最近的英国数学研究国际评论（IRM）的判断是，在英国，理论和数学统计方面的重要能力很小，而且在下降。这种下降需要被制止和扭转。现在是时候了。SuSTaIn将成为一个开展和传播顶尖数理统计研究的中心，并将其植入英国的统计学学科。我们将在布里斯托尔大学统计小组的支持环境中培养SuSTaIn，以建立强大的数理统计能力。我们建议的主要支柱是(i)聘请一个强大的充满活力的团队，由一名教授和四名职业生涯早期到中期的研究人员组成，作为讲师；（ii）吸引一些有杰出潜力的博士后进入一个滚动项目，在那里他们可以自由地建立和发展数理统计的最新思想；（iii）启动一个全面的4年MRes/PhD研究培训计划。（iv）举办多项活动（包括在英国举办一个重要的数理统计系列会议），以推广我们对该学科的愿景，并鼓励该学科在英国得到更广泛的采用。在EPSRC/HEFCE资助的初始阶段之后，布里斯托尔大学致力于为这一发展提供强有力的财政和物质支持，以使这一竞标成功，并使该倡议蓬勃发展。SuSTaIn既要立即启动数学统计方面的高级研究，从而在英国的活动中产生一个台阶的变化，又要通过培养工作人员和研究生在他们职业生涯的早期来帮助确保未来。布里斯托尔大学的统计小组在数学统计方面的卓越研究以及提供令人兴奋和支持性的环境方面享有盛誉。在国内招聘困难的情况下，卓越和环境都有助于该集团成功吸引优秀的国际研究人员。新世纪的数理统计将蓬勃发展，并与本集团现有的方法重点发展共生关系。SuSTaIn将与广泛的合作企业建立联系，利用现有的可靠联系，并在一个强大而多样化的大学内建立创新的新联系。它将在全国范围内加强英国统计，并解决由“数据革命”引起的全球关注。SuSTaIn将促进数学之间和数学之间的知识交流（在理论方面），并扩展到现有的方法论小组，该小组本身已经建立了关键科学和工程领域的知识转移路线，例如生物信息学、数据融合和量子信息。

项目成果

New Perspectives in Statistical Modeling and Data Analysis - Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9 - 11, 2009

统计建模和数据分析的新视角 - 意大利统计学会分类和数据分析小组第七届会议论文集，卡塔尼亚，2009 年 9 月 9 日至 11 日

• DOI: 10.1007/978-3-642-11363-5_46
• 发表时间: 2011
• 作者: Akacha M

Smooth projected density estimation

平滑投影密度估计

• DOI: 10.48550/arxiv.1308.3968
• 发表时间: 2013
• 作者: Battey H

Automated analysis of information processing, kinetic independence and modular architecture in biochemical networks using MIDIA.

使用 MIDIA 对生化网络中的信息处理、动力学独立性和模块化架构进行自动分析。

• DOI: 10.1093/bioinformatics/btq694
• 发表时间: 2011
• 期刊: Bioinformatics (Oxford, England)
• 作者: Bowsher CG

The Dynamics of Economic Functions: Modeling and Forecasting the Yield Curve

• DOI: 10.1198/016214508000000922
• 发表时间: 2008-03
• 期刊: Journal of the American Statistical Association
• 影响因子: 3.7
• 作者: Clive G. Bowsher;R. Meeks

The Bernstein-von Mises theorem and nonregular models

伯恩斯坦-冯·米塞斯定理和非正则模型

• DOI: 10.1214/14-aos1239
• 发表时间: 2014
• 期刊: The Annals of Statistics
• 作者: Bochkina N