New developments on local fitting semiparametric inference
Project/Area Number |
20500257
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Statistical science
|
Research Institution | Shimane University |
Principal Investigator |
NAITO Kanta Shimane University, 総合理工学部, 准教授 (80304252)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 機械学習 / 生物統計 / 平滑化 / 統計科学 / 歪曲度 / 学習理論 |
Research Abstract |
The research has contributed to the works to clarify theoretical properties of the local fitting semiparametric inferences and its application to biostatistics. The research has progressed according to the research plan previously submitted. The results of research include developing the asymptotic theory of semiparametric smoothing and the selection of smoothing parameters in the semiparametric generalized linear mixed model. As important results in the application to biostatistics, some distributional results of dilatation have been derived under linear and radial mapping models, which have been applied to the analysis of harmonized development of human fetuses.
|
Report
(4 results)
Research Products
(27 results)