2009 Fiscal Year Final Research Report
Study on data analysis method based on Bayesian statistics
| Project/Area Number |
18500223
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | High Energy Accelerator Research Organization |
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Principal Investigator |
SHIBATA Akihiro High Energy Accelerator Research Organization, 計算科学センター, 研究機関講師 (30290852)
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| Project Period (FY) |
2006 – 2009
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| Keywords | 数値統計 / ベイズ統計 / EMアルゴリズム / 多変量解析 / データマイニング / 高エネルギー実験 |
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| Research Abstract |
We study the Bayesian method for data analysis of experiment. We focus on the data modeling with hidden parameters and study the inference methods of model parameters and these algorithms. In practice, we study with the experiment in the future linear accelerator. We proposed statistical models and inference methods and studied improvement of the method.
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