| Project/Area Number |
14208024
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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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 | OSAKA UNIVERSITY |
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Principal Investigator |
GOTO Masashi OSAKA UNIVERSITY, GRADUATE SCHOOL OF ENGINEERING SCIENCES, PROFESSOR, 大学院・基礎工学研究科, 教授 (00273615)
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| Co-Investigator(Kenkyū-buntansha) |
SUGINOTO Tomoyuki OSAKA UNIVERSITY, GRADUATE SCHOOL OF ENGINEERING SCIENCES, ASSISTANT PROFESSOR, 大学院・基礎工学研究科, 助手 (70324829)
SAKAMOTO Wataru OSAKA UNIVERSITY, GRADUATE SCHOOL OF ENGINEERING SCIENCES, ASSOCIATED PROFESSOR, 大学院・基礎工学研究科, 助教授 (70304029)
SHIRAHARA Shingo OSAKA UNIVERSITY, GRADUATE SCHOOL OF ENGINEERING SCIENCES, PROFESSOR, 大学院・基礎工学研究科, 教授 (10037294)
OCHI Yoshimiti OITA UNIVERSITY, DEPARTMENT OF COMPUTER SCIENCE AND INTELLIGENT SYSTEMS, ASSOCIATED PROFESSOR, 工学部, 助教授 (60185618)
OHTAKI Megu HIROSHIMA UNIVERSITY, DEPARTMENT OF ENVIRONMETRICS AND BIOMETRICS, RESEARCH INSTITUTE FOR RADIATION BIOLOGY AND MEDICINE, PROFESSOR, 原爆放射能医学研究所, 教授 (20110463)
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| Project Period (FY) |
2002 – 2003
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| Project Status |
Completed (Fiscal Year 2003)
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| Budget Amount *help |
¥22,750,000 (Direct Cost: ¥17,500,000、Indirect Cost: ¥5,250,000)
Fiscal Year 2003: ¥11,180,000 (Direct Cost: ¥8,600,000、Indirect Cost: ¥2,580,000)
Fiscal Year 2002: ¥11,570,000 (Direct Cost: ¥8,900,000、Indirect Cost: ¥2,670,000)
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| Keywords | splitting / pooling / reduction / reconstruction / transformation / date investigations / date-adaptive methods / statistical graphics |
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| Research Abstract |
The purpose of the project is to research and develop some statistical methodologies in process of the high-dimensional information processing which connects with human activities. Particularly, in the process we have focused on date-adaptive or information environmental-adaptive inference. Further, in the process of statistical date analysis, we provided some productive findings that were unsighted in date investigations and reifications.
Main productive results involved tree structured approaches, statistical transformations, statistical graphics, date adaptive distributions, some mixed models, and variants of the proportional hazard model etc. In the project research, we could obtain the following main results and some productive findings.
We have provided the process of date-adaptive inference and the comprehensive approaches systematically in the high-dimensional processing, particularly, fields of the date science.
In the statistical graphics, theories, methods, applications and evaluations were systematically provided and the data-adaptive graphics were proposed and evaluated though case-studies and simulations.
Analytical methods of incomplete data were provided with respect to recent developments and widely applied in medical fields.
Survival CART and longitudinal MARS (L-MARS) were proposed, developed, and applied to some data cited in literatures of medical and pharmaceutical fields.
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