Nonparametric multivariate boundary-bias-free density estimation and its application
Project/Area Number |
15H06068
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Single-year Grants |
Research Field |
Economic statistics
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Research Institution | University of Tsukuba |
Principal Investigator |
IGARASHI Gaku 筑波大学, システム情報系, 助教 (40759346)
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Project Period (FY) |
2015-08-28 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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Keywords | ノンパラメトリック密度推定 / 統計科学 |
Outline of Final Research Achievements |
We focused on nonparametric density estimation when the support of the estimated density has the boundary. We proposed multivariate log-normal kernel density estimator and its generalization, using the idea of the weighted distribution, and derived their asymptotic properties. We also proposed inverse gamma and Amoroso kernel density estimators, and derived their asymptotic properties. Furthermore, we discussed the bias-reduced beta and Amoroso kernel density estimators. Simulation studies and data analyses were conducted to illustrate the asymptotic results.
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Report
(3 results)
Research Products
(10 results)
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[Presentation] Some boundary-bias-free density estimators2016
Author(s)
Kakizawa, Yoshihide and Igarashi, Gaku
Organizer
The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting
Place of Presentation
The Chinese University of Hong Kong (香港)
Year and Date
2016-06-28
Related Report
Int'l Joint Research / Invited
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