SFB 475: Reduction of Complexity for Multivariate Data Structures

SFB 475：降低多元数据结构的复杂性

• 批准号: 5481508
• 金额: --
• 依托单位: Technische Universität Dortmund
• 依托单位国家: 德国
• 项目类别: Collaborative Research Centres
• 财政年份: 1997
• 资助国家: 德国
• 起止时间: 1996-12-31 至 2008-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5481508?language=en
• 关键词: SFB; 475; Reduction; Complexity; Multivariate

The main emphasis of the collaborative research centre 475 is focused on data-oriented statistical model building for complex systems and problems by making use of the interaction between methodological innovations on the one hand and data-intensive applications in life sciences, engineering and economics on the other.One area deals with the reduction of the masses of economic data generated on modern financial markets. Macroeconomics and forecasting also play a major rule in the projects. The new methods should make it possible to identify and trace distinct patterns in the development of stock-prices, for example. Another area of research deals with the statistical examination and modelling of medical phenomena and data from engineering. This includes online monitoring of both patient records in intensive care and production processes. The resulting new models should help to develop decision support systems for a quicker and even more accurate diagnosis as well as for process control.Researchers from the Departments of Statistics, Computer Science, Economics, Engineering, Mathematics, Biometrics, and Medicine at the universities of Dortmund, Essen, and Bochum as well as from the Institutes for Economic Research (RWI, Essen) and Occupational Physiology (IfADo, Dortmund) work together in this interdisciplinary research programme.

475合作研究中心的主要重点是，利用方法创新与生命科学、工程学和经济学中的数据密集型应用之间的相互作用，为复杂系统和问题建立面向数据的统计模型。其中一个领域涉及减少现代金融市场产生的大量经济数据。宏观经济学和预测也在项目中发挥着重要作用。例如，新的方法应该能够识别和追踪股票价格发展的不同模式。另一个研究领域涉及医学现象和工程数据的统计检查和建模。这包括在线监控重症监护和生产过程中的患者记录。由此产生的新模型应该有助于开发决策支持系统，以实现更快、更准确的诊断以及过程控制。来自多特蒙德、埃森和波鸿大学统计学、计算机科学、经济学、工程学、数学、生物统计学和医学系以及经济研究所的研究人员（RWI，埃森）和职业生理学（IfADo，多特蒙德）在这个跨学科的研究计划一起工作。