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 | EA |
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Conference Date | 2015/2/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Engineering Acoustics (EA) |
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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) | 473 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |