Nonparametric analysis of multivariate data

多元数据的非参数分析

• 批准号: 293280-2010
• 负责人: Stepanova, Natalia
• 金额: $ 1.46万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508715
• 关键词: Nonparametric; analysis; multivariate; data

We are in the era of massive automatic data collection. Often observations have dimensions of thousands or billions. Classical methods are not designed to cope with this kind of growth of observations dimensionality. My research proposal involves developing new methods and improving the existing nonparametric methods of data analysis in the case when a single observation is of high dimension.

我们正处于海量自动数据收集的时代。通常观察的维度有数千或数十亿。经典方法并不是为了应对这种观测维度的增长而设计的。我的研究建议涉及在单个观测值具有高维度的情况下开发新方法并改进现有的非参数数据分析方法。