Bayesian methods and computation in complex models

复杂模型中的贝叶斯方法和计算

• 批准号: 402294-2011
• 负责人: Muthukumarana, PalavinnageSaman
• 金额: $ 1.24万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=529509
• 关键词: Bayesian; methods; computation; complex; models

The main objective of the proposed research program is to develop new Bayesian methodologies that deal with complex model structures. Two of the main areas of application are network data and ordinal survey data.

拟议的研究计划的主要目标是开发新的贝叶斯方法，处理复杂的模型结构。两个主要的应用领域是网络数据和有序调查数据。