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The Foundation of Mathematical Statistics on Quantum Inference and Its Applications

The Foundation of Mathematical Statistics on Quantum Inference and Its Applications
量子推理的数理统计基础及其应用
批准号:
14204006
负责人:
AKAHIRA Masafumi
金额:
$29.7万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (A)
财政年份:
2002
资助国家:
日本
项目状态:
已结题
起止时间:
2002 至 2005

项目摘要

项目成果

AKAHIRA Masafumi的其他基金

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中文摘要
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英文摘要
The statistical investigation on various themes was done as follows. (1) Involving a relationship between statistical models and statistics, the properties of the models were discussed and some interesting results on the behavior of various statistics are obtained. (2) In the theory of statistics to finance, time series and their applications, statistical procedures were shown to be asymptotically useful. (3) In the experimental design and its related area, the mathematical structure is clarified by combinatorial procedures, and results intended to apply to practical problems were obtained. (4) In statistical sequential inference, some sequential procedures were proposed, and their properties were discussed in details. The asymptotic efficiencies were shown. (5) The construction of mathematically fundamental theory of biostatistics is tried, and statistically inferential procedures are shown to play an important role. In particular, bioassay test, score test etc. were shown to be usefu … More l. (6) The relationship between non-locality in quantum mechanics and statistical inference is clarified, and inferential procedures is also shown to be efficient in quantum estimation and quantum test. Further, it is recognized to play an important role as the theoretical base of concrete physical phenomena. (7) In statistical inference, on the lower bound for tail probabilites of consistent estimators, the first and second order asymptotic efficiencies are investigated from a different viewpoint from conventional Bahadur efficiency. And in order to unify both of non-parametric and parametric tests, the mathematical setup was done, new test statistics based on estimators of spectral density matrics were proposed, and their asymptotic properties are derived. (8) Under a family of non-parametric quantum states, state estimation, prediction of quantum state, quantum information geometry and discrimination problem on quantum states are trated, and new interesting results were obtained. Many symposium on the above were held and active discussion and mutual exchange of information were also done. Their results were summarized as a volume. Less
期刊论文(80)
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会议论文
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
Akahira, M., Takeuchi, K.: "Joint Statistical Papers of Akahira and Takeuchi"World Scientific. 620 (2003)
Akahira,M.,Takeuchi,K.:“Akahira 和 Takeuchi 的联合统计论文”世界科学。
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
DOI: --
发表时间: 2004
期刊:
影响因子: --
作者: [Fukumizu, K., Kuriki, S., Takeuchi, K., Akahira, M.]
通讯作者: M.
DOI: --
发表时间: 2004
期刊: Sequential Analysis 23-3
影响因子: --
作者: [M.Aoshima, Y.Takada]
通讯作者: Y.Takada
34
    The clarification of hierarchical structure of statistical deficiency
    • 批准号:
      15K11992
    • 项目类别:
      Grant-in-Aid for Challenging Exploratory Research
    • 资助金额:
      $2.33万
    • 财政年份:
      2015
    • 负责人:
      AKAHIRA Masafumi
    • 依托单位:
    New Development of Statistical Experiment and Its Applications
    • 批准号:
      24650146
    • 项目类别:
      Grant-in-Aid for Challenging Exploratory Research
    • 资助金额:
      $2.5万
    • 财政年份:
      2012
    • 负责人:
      AKAHIRA Masafumi
    • 依托单位:
    The clarification of the structure of the inverse problem in statistics and its applications
    • 批准号:
      21650063
    • 项目类别:
      Grant-in-Aid for Challenging Exploratory Research
    • 资助金额:
      $2.18万
    • 财政年份:
      2009
    • 负责人:
      AKAHIRA Masafumi
    • 依托单位:
    Theory of the foundation of mathematical statistics to analyze the biological information and its applications
    • 批准号:
      19340020
    • 项目类别:
      Grant-in-Aid for Scientific Research (B)
    • 资助金额:
      $11.9万
    • 财政年份:
      2007
    • 负责人:
      AKAHIRA Masafumi
    • 依托单位: