Mathematical Sciences: Data Analysis, Modelling, and Inference

数学科学：数据分析、建模和推理

• 批准号: 9003216
• 负责人: Arthur Dempster
• 金额: $ 17.05万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-07-01 至 1994-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9003216&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Data; Analysis; Modelling

Studies are proposed which center around the development and testing of new model-based statistical procedures. Included are applied studies in social, biomedical and physical systems whose analysis motivates certain new models and techniques that are tailored to practical problem-solving. The models to be studied gnerally have complex graphical structures, and the related inferences draw on several sources of statistical and expert knowledge. The statistical techniques include Bayesian and belief function methods that are computationally intensive, thus requiring algorithm development and are to be studied in part through assessment of numerical implementations.

提出了研究的研究围绕开发和测试的基于新的基于模型的统计程序。 包括在社会，生物医学和物理系统中进行的应用研究，它们的分析激发了某些针对解决问题解决的新模型和技术。 要研究的模型具有复杂的图形结构，相关的推论借鉴了统计和专家知识的几种来源。 统计技术包括计算密集型的贝叶斯和信仰功能方法，因此需要开发算法，并应部分通过评估数值实现来研究。