Bayesian functional data estimation and applications to climate change

贝叶斯函数数据估计及其在气候变化中的应用

• 批准号: 105078-2008
• 负责人: Angers, JeanFrançois
• 金额: $ 1.09万
• 依托单位: Université de Montréal
• 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=497323
• 关键词: Bayesian; functional; data; estimation; applications

In this research project, I want to develop a model for data that can be represented in form of curve. Three aspects will be investigated in more detail: the detection of change points ( that is abrupt change in the curve), total and local comparison of functions and estimation of function of multiple dimensions. Applications of this research project in climatic change and survival will be also considered. In another research project, in collaboration with researchers in security and environment, we want to develop a statistical model using all possible information on a fleet of vehicles to evaluate its insurance premium.

在这个研究项目中，我想开发一个可以用曲线表示的数据模型。本文从三个方面进行了详细的研究：变点（即曲线突变）的检测、函数的整体和局部比较以及多维函数的估计。该研究项目在气候变化和生存方面的应用也将得到考虑。在另一个研究项目中，与安全和环境研究人员合作，我们希望开发一个统计模型，使用车队的所有可能信息来评估其保险费。