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Unifying Nonparametric Regression and Optimal Design

Unifying Nonparametric Regression and Optimal Design
统一非参数回归和优化设计
批准号:
RGPIN-2016-04704
负责人:
Levit, Boris
金额:
$1.09万
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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
大约在60年代出现了两个重要的统计理论:非参数估计和最优设计。本质上,两者都处理相同的问题:将回归函数拟合到观察到的数据中。然而,就所使用的方法而言,它们差异如此之大,以至于其中一门课程的学生往往不熟悉另一门课程的最新发展。这两种理论都达到了可以通过相互作用而大大受益的地步。
英文摘要
Two important statistical theories emerged around the same time in the 60s: Nonparametric Estimation and Optimal Design. Essentially, both dealt with the same problem: fitting a regression function to the observed data. However, with respect to the methods used, they differed so significantly that students in one of them were often unfamiliar with recent developments in the other. Both theories came to a point where they can greatly benefit by interacting with each other.
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Unifying Nonparametric Regression and Optimal Design
  • 批准号:
    RGPIN-2016-04704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2020
  • 负责人:
    Levit, Boris
  • 依托单位:
Unifying Nonparametric Regression and Optimal Design
  • 批准号:
    RGPIN-2016-04704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2019
  • 负责人:
    Levit, Boris
  • 依托单位:
Unifying Nonparametric Regression and Optimal Design
  • 批准号:
    RGPIN-2016-04704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2018
  • 负责人:
    Levit, Boris
  • 依托单位:
Unifying Nonparametric Regression and Optimal Design
  • 批准号:
    RGPIN-2016-04704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2016
  • 负责人:
    Levit, Boris
  • 依托单位:
海外基金