| Presentation | 1996/6/21 Inferring Invariant Measures of Dynamical Systems Ken UMENO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We consider the problem of inferring invariant measures of dynamical systems. To solve the problem, we give a new class of ergordic mappings whose invariant measure is absolutely continuous with respect to the Lebesgue measure using the addition formula of hyper-elliptic functions. In this class of ergordic dynamical systems, this inverse problem is shown to be transformed to be the statistical inference problem in the standard sense. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Chaos / invariant measures / Neumann=Ulam map / statistical inference |
| Paper # | NC96-13 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1996/6/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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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) | Inferring Invariant Measures of Dynamical Systems |
| Sub Title (in English) | |
| Keyword(1) | Chaos |
| Keyword(2) | invariant measures |
| Keyword(3) | Neumann=Ulam map |
| Keyword(4) | statistical inference |
| 1st Author's Name | Ken UMENO |
| 1st Author's Affiliation | Laboratory for Information Representation, FRP, The Institute of Physical and Chemical Research (RIKEN)() |
| Date | 1996/6/21 |
| Paper # | NC96-13 |
| Volume (vol) | vol.96 |
| Number (no) | 117 |
| Page | pp.pp.- |
| #Pages | 6 |
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