2007 Fiscal Year Final Research Report Summary
Nonparametric Statistical Inference by method of Local Moments
| Project/Area Number |
17500180
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | Gifu University |
|---|
Principal Investigator |
SAGAE Masahiko Gifu University, Faculty of Engineering, Associate Professor (20215669)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
KOGURE Atsuyuki Keio University, Faculty of Policy Management, Professor (80178251)
|
|---|
| Project Period (FY) |
2005 – 2007
|
| Keywords | Nonparametric Inference / Data Squashing / Method of Local Moments / Data Mining / Kernel Method |
|---|
| Research Abstract |
The data squashing is proposed by DuMouchel, et. al. (1999) to deal with massive data sets. The idea is to scale data sets down to smaller representative samples, "squashed data", instead of scaling up algorithms to large data sets. However, the original scheme for the data squashing may still be computationally burdensome because it usually requires solving a large system of equations. In this project, we developed a new method for the data squashing which does not involve solving theoretical properties of the maximum likelihood estimator applied to the squashed data.
Some simulation study was provided to explain some evidence of effectiveness of our new method.
|
Research Products
(34 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Journal Article] データスクワッシングとビニング2006
Author(s)
小暮厚之(慶応大学), 寒河江雅彦(岐阜大学)
-
Journal Title
PROCEEDlNGS ON「第8回ノンパラメトリック統計解析とその周辺-統計的データマイニングとベイズ統計-」 Vol.8
Pages: 57-64.
Description
「研究成果報告書概要(和文)」より
-
-
-
-
-
-
-
-
-
[Presentation] カーネル・データスクワッシング2007
Author(s)
小暮厚之(慶応大学), 寒河江雅彦(岐阜大学)
Organizer
2006年度統計関連学会連合大会
Place of Presentation
東北大学
Year and Date
2007-09-08
Description
「研究成果報告書概要(和文)」より
-
-
-
-
-
-
-
-
-
