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Construction and evaluation of non-Gaussian spatio-temporal models through the use of gradient maps

Construction and evaluation of non-Gaussian spatio-temporal models through the use of gradient maps
通过使用梯度图构建和评估非高斯时空模型
批准号:
19700258
负责人:
SEI Tomonari
金额:
$2.51万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Young Scientists (B)
财政年份:
2007
资助国家:
日本
项目状态:
已结题
起止时间:
2007 至 2010

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中文摘要
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英文摘要
For data in the form of function of time and space, we proposed a statistical model to extract complex structures behind the data. We used the gradient map as a special transformation. In particular, we apply a sparse estimation method, which is an analogy of recently developed methodology in machine learning theory. Furthermore, we generalize our models to those of directional data. We also clarify a theoretical merit of our models from the viewpoint of loss of estimation.
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会议论文
Gradient modeling for multivariate analysis
用于多变量分析的梯度建模
DOI: --
发表时间: 2008
期刊: Proceedings of The Pyrenees International Workshop SPO 2007 1
影响因子: --
作者: [Sei, T., Tomonari Sei and Fumiyasu Komaki, Tomonari Sei]
通讯作者: Tomonari Sei
Spherical distributions defined by gradient maps
由梯度图定义的球形分布
DOI: --
发表时间: 2009
期刊:
影响因子: --
作者: [Sei, T.]
通讯作者: T.
Information geometry of small diffusions
小扩散的信息几何
DOI: --
发表时间: 2008
期刊: Statistical Inference for Stochastic Processes 11
影响因子: --
作者: [Sei, T., Tomonari Sei and Fumiyasu Komaki]
通讯作者: Tomonari Sei and Fumiyasu Komaki
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
17
    Statistical inference involving integration and optimization
    • 批准号:
      24700281
    • 项目类别:
      Grant-in-Aid for Young Scientists (B)
    • 资助金额:
      $0.83万
    • 财政年份:
      2012
    • 负责人:
      SEI Tomonari
    • 依托单位:
    海外基金