| Presentation | 2002/1/22 Reconstructions and Predictions of Nonlinear Dynamical Systems : A Bayesian Approach Takashi MATSUMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Bayesian algorithm is proposed for reconstructions and predictions of nonlinear dynamical systems.The scheme is applied to several concrete examples. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Nonlinear Dynamical Systems / Bayesian Approach / Predictive distribution / MCMC |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2002/1/22(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) | Reconstructions and Predictions of Nonlinear Dynamical Systems : A Bayesian Approach |
| Sub Title (in English) | |
| Keyword(1) | Nonlinear Dynamical Systems |
| Keyword(2) | Bayesian Approach |
| Keyword(3) | Predictive distribution |
| Keyword(4) | MCMC |
| 1st Author's Name | Takashi MATSUMOTO |
| 1st Author's Affiliation | Department of Electrical, Electronics and Computer Engineering Waseda University:Department of Electrical, Electronics and Computer Engineering, Waseda University() |
| Date | 2002/1/22 |
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| Volume (vol) | vol.101 |
| Number (no) | 616 |
| Page | pp.pp.- |
| #Pages | 8 |
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