New developments in Nonparametric Bayesian Inference; Univariate and Multivariate time series with infinite variance.

非参数贝叶斯推理的新进展；

• 批准号: 203276-2012
• 负责人: Zarepour, Mahmoud
• 金额: $ 0.87万
• 依托单位: University of Ottawa
• 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=508484
• 关键词: New; developments; Nonparametric; Bayesian; Inference

The applicant's research project is concentrated on two major subjects in statistical inference. The first subject is mainly related to Bayesian inference. In the Bayesian paradigm, the statisticians consider having a probabilistic prior knowledge on some unknown parameters. Later, the collected data is used to update their prior knowledge under the chosen model. A nonparametric Bayesian model considers his prior knowledge in

申请人的研究项目集中在统计推断的两个主要主题上。第一个主题主要与贝叶斯推理有关。在贝叶斯范式中，统计学家考虑对某些未知参数拥有概率先验知识。随后，收集到的数据用于更新所选模型下的先验知识。非参数贝叶斯模型考虑了他的先验知识