Statistical problems involving measurement errors and sparsity

涉及测量误差和稀疏性的统计问题

• 批准号: DP110100670
• 负责人: Prof Aurore Delaigle
• 金额: $ 23.22万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP110100670
• 关键词: Statistical; problems; involving; measurement; errors

The project tackles research in complex problems where the information contained in the data is sparse and corrupted by measurement errors. With the aid of modern computing methods, the project will develop new, sophisticated techniques that have applications in areas such as genomics, national security, environmental pollution, public health and nutrition.

该项目处理复杂问题的研究，其中数据中包含的信息是稀疏的，并被测量误差破坏。借助现代计算方法，该项目将开发新的尖端技术，应用于基因组学、国家安全、环境污染、公共卫生和营养等领域。