A New Paradigm for Multiple Correlated Outputs Given Dissimilarity and Other Information From Multiple Sources

考虑到来自多个来源的差异和其他信息,多个相关输出的新范式

基本信息

  • 批准号:
    0906818
  • 负责人:
  • 金额:
    $ 58.24万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2013-09-30
  • 项目状态:
    已结题

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to develop novel/improved methods for statistical model building and risk factor estimation when the training set has complex continuous and discrete attribute variables and including, but not limited to extremely long attribute vectors of which only a small set of interacting variables are believed to be relevant, but it is not known which. In addition, noisy relationship or dissimilarity information may be known between sufficiently many pairs of training set members, along with multiple correlated Bernoulli outcomes. In this context the objective is to model relations between the attribute and dissimilarity information and the multiple Bernoulli outcomes, as well as their correlations and conditional relationships. In particular the work will be concerned with issues related to developing tuning procedures for the multiple correlated Bernoulli case with heterogenous input data and penalty functionals, variable selection problems in this complex setup and the development of novel/improved computational tools to handle large data sets with complex optimization criteria.With the availability of huge amounts of data and high speed computing, modern statistical model building and data mining tools are doing impressive things to extract information in just about every scientific field from Astronomy to Zoology, not to mention problems in marketing, government, defense, health and the economy. Data sets in many areas of interest contain deeply embedded information relating to the risks of various outcomes, given complex inputs or observables.However the generation of huge, complex data sets in many fields of endeavor is beginning to outstrip the tools available for analyzing them. A new paradigm is proposed for development, which builds on previous results and which has as core the ability to deal with complex heterogenous data structures, to understand relationships between complex multivariate input information and complex multivariate correlated responses.The proposed work, when completed and disseminated, will provide a set of important and useful tools for new/improved statistical model building/data mining relating observational data in complex input structures to complex multiple correlated outcomes.
该奖项是根据2009年美国复苏和再投资法案资助的(公法111-5)。本研究的目的是开发新的/改进的方法,用于当训练集具有复杂的连续和离散属性变量时的统计模型构建和风险因素估计,包括,但不限于非常长的属性向量,其中只有一小组相互作用的变量被认为是相关的,但不知道是哪一组。此外,在足够多对训练集成员之间,噪声关系或相异性信息可以是已知的,沿着多个相关的伯努利结果。在这种情况下,目标是建模属性和相异性信息与多个伯努利结果之间的关系,以及它们的相关性和条件关系。特别是,工作将关注与开发具有异质输入数据和惩罚泛函的多个相关伯努利情况的调谐程序有关的问题,在这种复杂设置中的变量选择问题,以及开发新颖/改进的计算工具来处理具有复杂优化标准的大型数据集。现代统计模型构建和数据挖掘工具在提取从天文学到动物学的几乎每个科学领域的信息方面做得令人印象深刻,更不用说市场营销、政府、国防、健康和经济方面的问题了。许多领域的数据集包含与各种结果的风险相关的深层信息,给定复杂的输入或可观察性。然而,在许多领域,生成巨大的复杂数据集开始超过可用于分析它们的工具。提出了一种新的发展模式,它建立在以前的结果,并作为核心的能力,处理复杂的异构数据结构,了解复杂的多变量输入信息和复杂的多变量相关响应之间的关系。将为新的/改进的统计模型的建立提供一套重要和有用的工具,数据挖掘将复杂输入结构中的观测数据与复杂的多个相关结果相关联。

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 }}

Grace Wahba其他文献

NO . 1155 September 4 , 2009 Encoding Dissimilarity Data for Statistical Model Building
不 。
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Grace Wahba
  • 通讯作者:
    Grace Wahba

Grace Wahba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('Grace Wahba', 18)}}的其他基金

Distance and Dissimilarity Information in Statistical Model Building
统计模型构建中的距离和相异信息
  • 批准号:
    1308877
  • 财政年份:
    2013
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
A New Paradigm for Classification Based on Dissimilarity Information via Regularized Kernel Estimation
基于正则核估计相异信息的分类新范式
  • 批准号:
    0604572
  • 财政年份:
    2006
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Reproducing Kernel Hilbert Space Methods in Statistical Model Building and Data Analysis
在统计模型构建和数据分析中再现核希尔伯特空间方法
  • 批准号:
    0505636
  • 财政年份:
    2005
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Standard Grant
Problems in Statistical Model Building
统计模型构建中的问题
  • 批准号:
    0072292
  • 财政年份:
    2000
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Statistical Model Building with Generalized Splines
使用广义样条建立统计模型
  • 批准号:
    9704758
  • 财政年份:
    1997
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Mathematical Sciences: Statistical Model Building with Generalized Splines
数学科学:用广义样条建立统计模型
  • 批准号:
    9121003
  • 财政年份:
    1992
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Mathematical Sciences: Statistical Model Building with Generalized Splines
数学科学:用广义样条建立统计模型
  • 批准号:
    9002566
  • 财政年份:
    1990
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Mathematical Sciences: Advanced Methods in Semiparametric and Nonlinear Model Building
数学科学:半参数和非线性模型构建的高级方法
  • 批准号:
    8701836
  • 财政年份:
    1987
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Standard Grant
Variational Methods in Simultaneous Assimilation and Init- ialization For Medium Range Numerical Weather Prediction
中期数值天气预报同时同化和初始化的变分法
  • 批准号:
    8410373
  • 财政年份:
    1985
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant
Mathematical Sciences and Computer Research: Multivariate and Multiresponse Estimation
数学科学和计算机研究:多元和多响应估计
  • 批准号:
    8404970
  • 财政年份:
    1984
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Continuing Grant

相似国自然基金

范型(Paradigm)统一化问题
  • 批准号:
    68783007
  • 批准年份:
    1987
  • 资助金额:
    3.0 万元
  • 项目类别:
    专项基金项目

相似海外基金

A Novel Testing Paradigm to Identify and Manage Multiple Stressor Impacts on Wildlife
识别和管理对野生动物的多种压力源影响的新颖测试范式
  • 批准号:
    NE/X015327/1
  • 财政年份:
    2023
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Research Grant
Kondo-Zhang-Rice phase diagram: A new paradigm for multiple cation-ordered perovskite oxides
Kondo-Zhang-Rice 相图:多种阳离子有序钙钛矿氧化物的新范例
  • 批准号:
    23K03324
  • 财政年份:
    2023
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
A Novel Testing Paradigm to Identify and Manage Multiple Stressor Impacts on Wildlife
识别和管理对野生动物的多种压力源影响的新颖测试范式
  • 批准号:
    NE/X015270/1
  • 财政年份:
    2023
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Research Grant
Nanomedicine for ARDS: A new paradigm to target drugs to multiple cell types within alveolar capillaries
ARDS 纳米医学:将药物靶向肺泡毛细血管内多种细胞类型的新范例
  • 批准号:
    10678910
  • 财政年份:
    2020
  • 资助金额:
    $ 58.24万
  • 项目类别:
Nanomedicine for ARDS: A new paradigm to target drugs to multiple cell types within alveolar capillaries
ARDS 纳米医学:将药物靶向肺泡毛细血管内多种细胞类型的新范例
  • 批准号:
    10030992
  • 财政年份:
    2020
  • 资助金额:
    $ 58.24万
  • 项目类别:
Nanomedicine for ARDS: A new paradigm to target drugs to multiple cell types within alveolar capillaries
ARDS 纳米医学:将药物靶向肺泡毛细血管内多种细胞类型的新范例
  • 批准号:
    10466854
  • 财政年份:
    2020
  • 资助金额:
    $ 58.24万
  • 项目类别:
Nanomedicine for ARDS: A new paradigm to target drugs to multiple cell types within alveolar capillaries
ARDS 纳米医学:将药物靶向肺泡毛细血管内多种细胞类型的新范例
  • 批准号:
    10192827
  • 财政年份:
    2020
  • 资助金额:
    $ 58.24万
  • 项目类别:
Selective use of infant voluntary eye movements in multiple contexts, using a gaze contingency paradigm
使用凝视应急范例在多种情况下选择性地使用婴儿自愿眼球运动
  • 批准号:
    16K21341
  • 财政年份:
    2016
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
A new paradigm for catchment management: detection, forecasting and management of water catchments with multiple steady states
流域管理的新范式:多稳态流域的检测、预测和管理
  • 批准号:
    LP0991280
  • 财政年份:
    2010
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Linkage Projects
Molecular pathogenesis of megalencephalic leukoencephalopathy with subcortical cysts (MLC), a paradigm for membrane protein quality control at multiple cellular locations
伴有皮质下囊肿(MLC)的巨脑白质脑病的分子发病机制,多个细胞位置膜蛋白质量控制的范例
  • 批准号:
    187540
  • 财政年份:
    2009
  • 资助金额:
    $ 58.24万
  • 项目类别:
    Operating Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了