| Presentation | 2010-03-10 Applications of Kernel-based Methods for Regression Analyses including Truncated Distributions SHOZO TOKINAGA, KANGRONG TAN, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Kernel-based methods are widely used to increase the estimation by nonlinear mapping into higher dimension of variables, however we find no work for regression analysis including censored distribution. This paper deals with the applications of Kernel-based methods for regression analyses including truncated distributions. At first we summarize Kernel-based methods, and then we extend the method to the regression analysis including censored distribution of data. As applications, we show the effectivity of the method for artificially generated examples, and also for the decision process of personal loans. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kernel-based method / Censored distribution / Regression analysis / Personal loan |
| Paper # | NLP2009-175 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2010/3/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Applications of Kernel-based Methods for Regression Analyses including Truncated Distributions |
| Sub Title (in English) | |
| Keyword(1) | Kernel-based method |
| Keyword(2) | Censored distribution |
| Keyword(3) | Regression analysis |
| Keyword(4) | Personal loan |
| 1st Author's Name | SHOZO TOKINAGA |
| 1st Author's Affiliation | Faculty of Economics, Kyushu University() |
| 2nd Author's Name | KANGRONG TAN |
| 2nd Author's Affiliation | Faculty of Economics, Kurume University |
| Date | 2010-03-10 |
| Paper # | NLP2009-175 |
| Volume (vol) | vol.109 |
| Number (no) | 458 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |