| Presentation | 2006-10-11 Modern Bayesian Statistics and Its Influence on Science and Technology Yukito IBA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Modern Bayesian statistics is treated as an art of generative modeling. Especially, development of methodology based on hierarchical models enables microscopic modeling of individual differences, spatial inhomogeneity and nonstationarity, which causes innovations in various different fields such as ecology, marketing and natural language processing. We also compare generative modeling with discriminative modeling, and discuss potential advantages of the generative one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian Statistics / Generative Model / Discriminative Model / Hierarchical model / HMM / Mixture |
| Paper # | NC2006-55 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/10/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Modern Bayesian Statistics and Its Influence on Science and Technology |
| Sub Title (in English) | |
| Keyword(1) | Bayesian Statistics |
| Keyword(2) | Generative Model |
| Keyword(3) | Discriminative Model |
| Keyword(4) | Hierarchical model |
| Keyword(5) | HMM |
| Keyword(6) | Mixture |
| 1st Author's Name | Yukito IBA |
| 1st Author's Affiliation | The Institite of Statistical Mathematics() |
| Date | 2006-10-11 |
| Paper # | NC2006-55 |
| Volume (vol) | vol.106 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |