Bayesian Analysis, Computation and Communication

贝叶斯分析、计算和通信

• 批准号: 0214303
• 负责人: John Geweke
• 金额: $ 18.32万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0214303&HistoricalAwards=false
• 关键词: Bayesian; Analysis; Computation; Communication

Bayesian statistical methods are applied in situations of decision making with limited information in diverse fields including economics, law, medicine, psychology, and meteorology. The objective of the Bayesian Analysis, Computation and Communication (BACC) project is to provide the wider social science community with rapid, convenient access to state-of-the-art simulation methods for Bayesian analysis, computation and communication. To meet its objectives, the project will develop software incorporating recent innovations in mathematical statistics and computer science. A unique and important feature of the BACC software is that it implements its tools as extensions to the popular mathematical applications programs Matlab, Gauss, S-plus, and R. The architecture that makes this feature possible is unique within the domain of Bayesian software, combining core code, model-specific code, application code, and a specialized mathematical routine library.This project will expand the suite of models provided to users, provide a set of high-level commands for users developing new models, and incorporate structured procedures to cross-check the validity of algorithms. It also will emphasize outreach and dissemination of the software to the social science research community and its incorporation in graduate and postdoctoral education.

贝叶斯统计方法在经济、法律、医学、心理学、气象学等领域广泛应用于信息有限的情况下的决策。贝叶斯分析，计算和通信（BACC）项目的目标是为更广泛的社会科学界提供快速，方便地访问最先进的贝叶斯分析，计算和通信仿真方法。为了实现其目标，该项目将开发结合数理统计和计算机科学最新创新的软件。BACC软件的一个独特而重要的特性是，它将其工具作为流行的数学应用程序Matlab、Gauss、S-plus和r的扩展来实现。使这一特性成为可能的体系结构在贝叶斯软件领域中是独一无二的，它结合了核心代码、特定模型代码、应用程序代码和专门的数学例程库。该项目将扩展提供给用户的模型套件，为开发新模型的用户提供一组高级命令，并纳入结构化过程来交叉检查算法的有效性。它还将强调向社会科学研究界推广和传播该软件，并将其纳入研究生和博士后教育。