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

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:
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
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
翻译
申请人的研究项目集中在统计推断的两个主要课题上。第一个主题主要涉及贝叶斯推理。在贝叶斯范式中,统计学家考虑对一些未知参数具有概率先验知识。之后,收集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他的先验知识,
英文摘要
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
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Nonparametric Bayesian inference with single and multivariate random probability measures; heavy tailed time series.
  • 批准号:
    RGPIN-2018-04008
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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    RGPIN-2018-04008
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.17万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Nonparametric Bayesian inference with single and multivariate random probability measures; heavy tailed time series.
  • 批准号:
    RGPIN-2018-04008
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.17万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Nonparametric Bayesian inference with single and multivariate random probability measures; heavy tailed time series.
  • 批准号:
    RGPIN-2018-04008
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.17万
  • 财政年份:
    2019
  • 负责人:
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