| Presentation | 2015-03-03 Density estimation using proper loss functions Matthew J. Holland, Kazushi Ikeda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the context of estimation in parametric models, we consider quantification of pairwise dissimilarity of probability measures, and describe some relevant results that contribute to a more general methodological approach to deriving new estimators with desirable theoretical properties while still being computationally tractable for many important model classes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Density estimation / proper loss functions / parameter inference |
| Paper # | EA2014-89,SIP2014-130,SP2014-152 |
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| Conference Information | |
| Committee | SIP |
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| Conference Date | 2015/2/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Signal Processing (SIP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Density estimation using proper loss functions |
| Sub Title (in English) | |
| Keyword(1) | Density estimation |
| Keyword(2) | proper loss functions |
| Keyword(3) | parameter inference |
| 1st Author's Name | Matthew J. Holland |
| 1st Author's Affiliation | Graduate School of Information Science, NAIST() |
| 2nd Author's Name | Kazushi Ikeda |
| 2nd Author's Affiliation | Graduate School of Information Science, NAIST |
| Date | 2015-03-03 |
| Paper # | EA2014-89,SIP2014-130,SP2014-152 |
| Volume (vol) | vol.114 |
| Number (no) | 474 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |