Bayasian statistics and computation: applications in finance and biology

巴亚斯统计和计算：在金融和生物学中的应用

• 批准号: 341315-2007
• 负责人: Stephens, David
• 金额: $ 1.6万
• 依托单位: McGill 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=497398
• 关键词: Bayasian; statistics; computation; applications; finance

Improvements in scientific procedures have granted researchers the ability to observe the real world in minute detail. For example, in biology, new technology has allowed scientists to measure the structure, activity and function of organisms in the finest possible detail. In other, rapid data gathering areas, such in medical monitoring, signal processing, and the financial industry, vast amounts of data are routinely gathered. There is an ongoing challenge to extract the greatest possible amount of useful information from the data available. This is primarily a challenge to statisticians, and motivates the work detailed in my research proposal.

科学程序的改进使研究人员有能力细致地观察现实世界。例如，在生物学中，新技术使科学家能够尽可能详细地测量生物体的结构、活动和功能。在其他快速数据收集领域，如医疗监测、信号处理和金融行业，通常会收集大量数据。从现有数据中提取尽可能多的有用信息是一项持续的挑战。这主要是对统计学家的挑战，并激励我在研究计划中详细介绍的工作。