Monotone empirical bayes, non/semiparametric methods for nonlinear/hazards/censored regression and functional estimation

单调经验贝叶斯、非线性/危险/审查回归和函数估计的非/半参数方法

基本信息

  • 批准号:
    4631-2007
  • 负责人:
  • 金额:
    $ 1.17万
  • 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:
    2011
  • 资助国家:
    加拿大
  • 起止时间:
    2011-01-01 至 2012-12-31
  • 项目状态:
    已结题

项目摘要

In many fields, like medicine, agriculture, industry, engineering, biological sciences, sociology, often situations involving sequences of similar but independent investigations arise. In such situations the parameter of interest often varies unpredictably as the sequence progresses with unknown probability distribution, and hence a minimum risk decision, what is usually called Baysian decision, can not be made. However, the information collected from the previous investigations can sometimes be utilized to formulate a decision, what is popularly known as empirical Bayes decision, with risk close to the minimum Bayes risk. Part of the objective of this research is to propose improved/monotone EB estimation/test procedures when the responses are modelled by some parametric distribution and to investigate the speed and the best possible speed with which the risk of these procedures approach to the minimum Bayes risk.
在许多领域,如医学、农业、工业、工程、生物科学、社会学,经常会出现涉及相似但独立的调查序列的情况。在这种情况下,当序列以未知的概率分布进行时,感兴趣的参数经常不可预测地变化,因此不能做出通常所称的贝叶斯决策的最小风险决策。然而,从以前的调查中收集的信息有时可以用来制定决策,即通常所说的经验贝叶斯决策,其风险接近最小贝叶斯风险。这项研究的部分目的是提出改进的/单调EB估计/检验程序,当响应由某些参数分布建模时,并调查这些程序的风险接近最小贝叶斯风险的速度和最佳可能速度。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Singh, Radhey其他文献

Singh, Radhey的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Singh, Radhey', 18)}}的其他基金

Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2019
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2018
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2017
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2016
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2015
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2014
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2013
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2012
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Monotone empirical bayes, non/semiparametric methods for nonlinear/hazards/censored regression and functional estimation
单调经验贝叶斯、非线性/危险/审查回归和函数估计的非/半参数方法
  • 批准号:
    4631-2007
  • 财政年份:
    2010
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Monotone empirical bayes, non/semiparametric methods for nonlinear/hazards/censored regression and functional estimation
单调经验贝叶斯、非线性/危险/审查回归和函数估计的非/半参数方法
  • 批准号:
    4631-2007
  • 财政年份:
    2009
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual

相似海外基金

Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2019
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2018
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/cencored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/风险/中心回归的非/半参数方法;
  • 批准号:
    RGPIN-2017-05047
  • 财政年份:
    2017
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2016
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2015
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2014
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2013
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Non/semiparametric methods for nonlinear/hazards/censored regression; Nonparametric monotone empirical Bayes; Non/semiparametric seemingly unrelated regression
用于非线性/危险/删失回归的非/半参数方法;
  • 批准号:
    4631-2012
  • 财政年份:
    2012
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Monotone empirical bayes, non/semiparametric methods for nonlinear/hazards/censored regression and functional estimation
单调经验贝叶斯、非线性/危险/审查回归和函数估计的非/半参数方法
  • 批准号:
    4631-2007
  • 财政年份:
    2010
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
Monotone empirical bayes, non/semiparametric methods for nonlinear/hazards/censored regression and functional estimation
单调经验贝叶斯、非线性/危险/审查回归和函数估计的非/半参数方法
  • 批准号:
    4631-2007
  • 财政年份:
    2009
  • 资助金额:
    $ 1.17万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了