课题基金 / 基金详情

Mathematical Sciences: Presidential Young Investigator Award

Mathematical Sciences: Presidential Young Investigator Award
数学科学:总统青年研究员奖
批准号:
8916180
负责人:
Cun-Hui Zhang
金额:
$14.09万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-07-15 至 1994-06-30

项目摘要

项目成果

Cun-Hui Zhang的其他基金

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中文摘要
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英文摘要
Zhang's research covers a broad range of problems in probability theory, sequential analysis, and statistical inference. In probability theory, he will work on normalized random walks, local limit theorems, large deviations, and renewal theory. In sequential analysis, problems in nonlinear renewal theory, power-one tests and confidence sequences, multi-decision and selection, clinical trials, multi-armed bandit, and optimal stopping will be persued. Problems in statistical inference include those involving empirical Bayes estimation, mixture models, testing and estimation under biased sampling schemes. Zhang research involves a wide variety of problems in the fields of probability and statistics.
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Estimation and Inference with High-Dimensional Data
  • 批准号:
    2210850
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.0万
  • 财政年份:
    2022
  • 负责人:
    Cun-Hui Zhang
  • 依托单位:
FRG: Collaborative Research: Dynamic Tensors: Statistical Methods, Theory, and Applications
  • 批准号:
    2052949
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2021
  • 负责人:
    Cun-Hui Zhang
  • 依托单位:
Collaborative Research: Statistical Methods, Algorithms, and Theory for Large Tensors
  • 批准号:
    1721495
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $26.0万
  • 财政年份:
    2017
  • 负责人:
    Cun-Hui Zhang
  • 依托单位:
SEMIPARAMETRIC INFERENCE WITH HIGH-DIMENSIONAL DATA
  • 批准号:
    1513378
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2015
  • 负责人:
    Cun-Hui Zhang
  • 依托单位:
国内基金
海外基金
Handbook of the Mathematics of the Arts and Sciences的中文翻译
  • 批准号:
    12226504
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2022
  • 负责人:
    黄朝凌
  • 依托单位:
SCIENCE CHINA: Earth Sciences
Journal of Environmental Sciences
SCIENCE CHINA Information Sciences